Researchers at Oregon State University have developed a new light-sensitive electronic device that works more like the human brain. The innovation could lead to artificial intelligence systems that process information faster while using much less electricity. The new device, described in the journal Advanced Functional Materials, combines three important functions into a single component: it […]

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Many people rely on the sniff test to decide whether food is still safe to eat. If milk smells fine or leftovers don’t seem off, we often assume they are okay. But the human nose isn’t always reliable. Every year, millions of people in the United States become sick from food-borne germs that can grow […]

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Manufacturing automation and robotics require precision and efficiency, both of which are enabled by IoT connectivity.

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In a groundbreaking advancement that promises to reshape the landscape of wearable technology and soft robotics, researchers at the Korea Advanced Institute of Science and Technology (KAIST) have developed a pioneering self-powered piezoelectric fiber sensor exhibiting unprecedented stretchability and resilience. This novel device, capable of enduring elongations up to 668%, heralds a new era of flexible sensors that can reliably monitor physiological signals over extended periods without relying on external power sources such as batteries.

Wearable medical devices designed to continuously track vital signs—heart rate, respiration, and joint movement—have long been limited by the mechanical and electrical degradation of their sensing components under repeated deformations. Traditional piezoelectric fiber sensors, which convert mechanical forces into electrical signals, often suffer from diminished performance as their thin electrode layers and fragile piezoelectric materials falter during routine bending and stretching. Overcoming this barrier, the KAIST research team led by Professor Miso Kim has introduced a transformative approach that stabilizes sensor function even after thousands of mechanical cycles.

Central to this breakthrough is the adoption of a meticulously engineered “Hierarchical Resilient Design,” wherein resilience is embedded across multiple structural levels of the sensor. This concept mirrors the elasticity of a rubber band, allowing the piezoelectric fibers to recover their original form and function after extensive stretching. The research team achieved this by dispersing elastic polymer microparticles within the piezoelectric nanofibers, creating a Velcro-like interlocking microstructure that enhances the sensor’s mechanical robustness and self-restorative capabilities.

The interface engineering between the sensor’s electrical components also proved critical. By enhancing the bonding between the piezoelectric layers and the electrodes, the team prevented delamination—a common failure mode under deformation—that typically degrades signal integrity. This strong adhesion at the material interfaces ensures continuous charge transfer and maintains stable electrical outputs even when the sensor is twisted, pressed, or stretched significantly.

One of the most remarkable aspects of the sensor’s design is its coil and knot structures. By coiling the piezoelectric fibers, the researchers capitalized on geometric extensions, enabling the sensor to stretch over six times its initial length without losing sensitivity. Furthermore, knot configurations were tested to validate sensor durability under complex and dynamic mechanical stresses such as sudden impacts or localized pressure, demonstrating stable electrical signals regardless of deformation mode.

Beyond mechanical resilience, the KAIST team integrated artificial intelligence techniques to interpret the electrical outputs from the sensor. Utilizing machine learning algorithms, they could accurately distinguish between distinct mechanical stimuli—such as bending, stretching, and pressing—offering a valuable platform for intuitive and precise biosignal monitoring in real-world environments. This capability opens new horizons for dynamic human-machine interfacing, where nuanced movement detection is critical.

What sets this breakthrough apart is its self-powered nature. Unlike conventional wearable sensors that depend on finite battery life, the piezoelectric polymer fibers harvest mechanical energy directly from body movements, converting it into usable electrical signals. This sustainable mechanism not only eliminates maintenance concerns but also allows for ultra-lightweight, unobtrusive devices suitable for long-term wear.

The implications of this technology extend well beyond healthcare monitoring devices. Electronic skins capable of mimicking human sensory reception, soft robotic actuators with sensitive feedback loops, and next-generation digital health tools could all benefit from the combination of stretchability, mechanical resilience, and stable self-generated electrical outputs demonstrated by this platform. Such multifunctional usability places this development firmly at the forefront of flexible electronics innovation.

Professor Miso Kim emphasized the significance of their approach: “By simultaneously achieving mechanical resilience and electrical reliability through fiber structure design combined with precise electrode interface engineering, we have laid the foundation for wearable devices capable of long-term operation under strenuous conditions,” she remarked. This robust design paradigm, she asserts, will empower a new generation of devices that continuously monitor biosignals with unprecedented accuracy and durability.

Published in the prestigious journal ACS Nano, the team’s research showcases both fundamental materials science and applied engineering excellence. The paper titled “Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing” details the synthesis of the nanofiber composites, the meticulous fabrication of coil and knot geometries, and a comprehensive analysis of the sensor’s electromechanical performance over extensive cyclical tests.

The scientific community has lauded this work for addressing long-standing issues in flexible sensor design. By merging nanoscale material innovations with macrostructural strategies, the KAIST team has created a versatile sensing platform that bridges the gap between laboratory prototypes and real-world applications. Their work sets a precedent for future interdisciplinary efforts aimed at wearable electronics that demand both high performance and durability.

Funded by multiple National Research Foundation of Korea initiatives, this research underscores Korea’s growing leadership in advanced materials and smart sensor development. The integration of elastic polymer microparticles within piezoelectric nanofibers, combined with interface science and architectural engineering, exemplifies the kind of holistic approach necessary to push boundaries in next-generation electronics.

Looking ahead, this resilient, self-powered fiber sensor technology could transform how we collect and interpret physiological data in ambulatory settings, enable more sophisticated prosthetics with tactile feedback, and empower soft robots with human-like sensory capabilities. As devices become lighter, more adaptable, and energy-autonomous, the convergence of materials science and artificial intelligence will accelerate innovations that make previously impossible applications a reality.

In conclusion, the KAIST team’s pioneering piezoelectric fiber sensor offers a robust and reliable solution to historic challenges in wearable sensory technology. Its remarkable combination of extreme stretchability, stable electricity generation without batteries, and intelligent signal analysis marks a significant leap forward that is poised to impact multiple sectors, from healthcare to robotics and beyond.

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Subject of Research: Development of highly stretchable, mechanically resilient, self-powered piezoelectric fiber sensors for wearable devices and soft robotics.

Article Title: Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing

News Publication Date: June 18, 2026

Web References: https://doi.org/10.1021/acsnano.5c19628

References: Choi, Y. J., Park, J., Nam, J., Sim, G.-D., Kim, M.-G., & Kim, M. (2026). Mechanically and Functionally Resilient Piezoelectric Fiber Coils and Knots for Reliable Self-Powered Sensing. ACS Nano.

Image Credits: KAIST

Keywords

Self-powered sensor, piezoelectric polymer, wearable medical devices, stretchable electronics, fiber coil sensor, interface engineering, mechanical resilience, electrical stability, nanofiber composites, artificial intelligence, biosignal monitoring, flexible sensors.

In a remarkable leap forward in food safety technology, researchers at the University of California, Berkeley, have developed a groundbreaking “electronic nose” capable of pinpointing spoiled food and detecting allergens with unprecedented accuracy. This innovative device combines a miniature array of gas sensors with sophisticated machine learning algorithms to outperform the human nose, which, while remarkably sensitive, often fails to detect early signs of food spoilage and allergen presence. The implications of this technology are vast, promising to revolutionize how consumers, retailers, and food producers monitor food freshness and safety.

The team’s new creation is composed of 16 ultra-sensitive gas sensors, each responding uniquely to specific volatile compounds released by different foods. These sensors act much like digital taste buds, capable of identifying complex chemical signatures through changes in electrical signals. By mapping these responses to known gas fingerprints, the electronic nose can distinguish between fresh and spoiled food items, along with categorizing various allergens including walnuts, peanuts, and other nuts known to trigger severe allergic reactions.

What makes this achievement especially notable is the integration of carbon nanotube technology in the sensors. Unlike traditional metal oxide sensors, carbon nanotubes offer extraordinary surface area relative to their size and maintain sensitivity at room temperature. This is crucial because many sensing materials degrade or require heating to function effectively, limiting their applications. The Berkeley team leveraged the thin, nanometer-scale layers of carbon nanotubes to create a sensor surface that is both highly selective and stable under everyday environmental conditions.

Central to the power of this electronic nose is machine learning. Lead author Carla Bassil developed models trained to interpret the nuanced electrical patterns emanating from the sensor array when exposed to gases released by seven different foods, including strawberry, blueberry, banana, walnuts, hazelnuts, cashews, and peanuts. The algorithm also discerns the freshness of common perishables such as raw chicken, milk, and eggs by detecting subtle changes in their gaseous emissions over time, reflecting degrees of spoilage after 24 and 48 hours at room temperature.

A key challenge in creating an effective gas sensor lies in the complexity of food odors, which consist of many overlapping volatile organic compounds. This electronic nose overcomes this hurdle by relying on the relative selectivity of each sensor and the pattern recognition capabilities of machine learning, enabling the system to sort through these chemical signatures and recognize distinct gas “fingerprints.” The result is a highly sensitive, objective, and scalable detection method that could transform food safety practices.

The development of multiplexed sensor arrays has historically been complex, with issues arising from manufacturing difficulties and material limitations. However, by utilizing a fabrication process known as drop casting, the team managed to deposit different sensing films onto a single chip in a single step. This scalability is pivotal for real-world adoption, allowing potential mass production of these chips at a reasonable cost and size suitable for use in household appliances or portable devices.

In terms of applications, the researchers envision integration within “smart” kitchen appliances such as refrigerators equipped with wireless connectivity and app-based interfaces. Imagine a refrigerator that could alert you via your smartphone, warning that your broccoli is nearing spoilage or that your chicken is at its last safe day for consumption. Such timely notifications could drastically reduce food waste and prevent foodborne illness.

The sensitivity of the device is particularly striking. The electronic nose demonstrated the ability to detect as little as 0.05 grams of walnut, which corresponds to approximately one hundredth of a shelled nut. This level of detection sensitivity is crucial not only for spoilage monitoring but also for allergen detection, where even trace amounts can have life-threatening consequences for sensitive individuals.

Although these findings are promising, challenges remain. For instance, the device’s performance amidst complex food environments—such as detecting walnuts hidden in salad or cakes, or isolating spoilage gases when multiple food items are stored together—is yet to be rigorously tested. Future developments will focus on enhancing sensitivity, reducing false positives, and ensuring reliability in real-world, cluttered atmospheres.

Furthermore, a portable version of the electronic nose, operable via an iPhone application, has been developed, offering exciting possibilities for on-the-go freshness and allergen detection. Such a compact and user-friendly device empowers consumers to make informed decisions at grocery stores, restaurants, and home kitchens, fostering safer, healthier food habits.

The senior author of the study, Ali Javey, emphasizes the importance of combining novel nanomaterials with advanced machine learning to solve complex sensing problems. This convergence of disciplines paves the way for a new era of digital olfaction technologies that are not only sensitive and selective but also accessible and affordable for everyday use.

Published in the journal Science Advances on June 17, 2026, this study marks a significant milestone in the fields of applied sciences and engineering, with a particular emphasis on food science and sensor technology. Supported by funding from the U.S. Department of Energy and the National Science Foundation, the research team comprises experts from UC Berkeley and collaborators from KAIST in South Korea.

As this technology continues to mature, it holds the promise of making kitchens safer and reducing the global burden of foodborne illnesses. By translating the chemical complexity of food odors into digital data streams, the electronic nose could soon become an indispensable tool for consumers worldwide, enhancing food quality and saving lives.

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Subject of Research: Not applicable

Article Title: Scalable multiplexed machine learning gas sensor chips for food classification

News Publication Date: 17-Jun-2026

Web References: http://dx.doi.org/10.1126/sciadv.aec7965

References:

Bassil, C., Lee, K., Liao, X., Krishnan, D., Zhan, Y., Wijaya, T. J., Hester, E., Kim, M., Kim, I.-D., Park, I., & Javey, A. (2026). Scalable multiplexed machine learning gas sensor chips for food classification. Science Advances. https://doi.org/10.1126/sciadv.aec7965

Image Credits: Brandon Sánchez-Mejia/UC Berkeley

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Keywords

Food science, Sensors, Emission detectors, Electronic nose, Machine learning, Carbon nanotubes, Food safety, Food spoilage detection, Allergen detection, Smart appliances, Gas sensors, Nanotechnology

A groundbreaking advancement in photonic technology promises to redefine the landscape of medical artificial intelligence (AI) diagnostics, as a research consortium led by Professor Han Zhang at Shenzhen University has unveiled a novel all-fiber photonic AI platform utilizing black phosphorus (BP)-based tunable modulators. This innovative approach, which hinges on photon-based computing, surmounts the intrinsic constraints posed by traditional electronic processors, delivering unprecedented energy efficiency and ultrafast performance crucial for real-time clinical decision-making.

The prevailing paradigm in medical AI, deeply reliant on electronic architectures such as GPUs, faces severe limitations related to energy consumption, heat dissipation, and processing latency. These factors collectively impede the integration of AI into time-sensitive diagnostic workflows and exacerbate systemic carbon footprints. Photonic computing, with its reliance on photons rather than electrons, offers dramatically accelerated data transmission speeds and parallelism through wavelength multiplexing, alongside near-zero heat generation. Until now, however, the practical implementation of photonic AI had been hampered by the bulkiness, inefficiency, and fabrication challenges synonymous with conventional optical modulators.

Professor Zhang’s team has ingeniously engineered an atomically thin van der Waals heterostructure by stacking black phosphorus and molybdenum disulfide (MoS2), leveraging the extraordinary optoelectronic properties of these 2D materials. This heterostructure is meticulously integrated onto a microfiber knot resonator (MKR), an ultra-fine looped optical fiber with a diameter narrower than a human hair. This configuration significantly intensifies the interaction between light and material, enabling modulation of the refractive index with minimal applied voltage, which shifts the light’s wavelength to encode computational information with remarkable precision and energy economy.

The fabrication process commences with mechanical exfoliation to obtain pristine BP/MoS2 bilayers, followed by a dry transfer technique to position these heterostructures onto the MKR. The MKR’s torsional geometry enhances evanescent field coupling, ensuring that the optical mode overlaps maximally with the active layered materials. To broaden the modulator’s linear response and suppress nonlinear distortions, the researchers incorporated a Ring-Assisted Mach–Zehnder Interferometer (RAMZI) design. This integration extends the operational voltage range, ensuring fidelity and robustness essential for medical-grade AI computations.

The team transcended single-device innovation by architecting a full all-fiber photonic neural network (PNN). By deploying two RAMZI modulators in tandem with a highly sensitive photoreceiver within a sophisticated time-division multiplexing schema, they realized a closed-loop, coherent computing unit capable of executing neural network operations entirely in the optical domain. This milestone substantiates the transition of photonic neural networks from theoretical constructs to viable, deployable platforms for clinical diagnostics.

Clinical performance validation was conducted in collaboration with esteemed hospitals. The PNN demonstrated expert-level diagnostic accuracy in two stringent medical tasks: detecting retinal detachment from B-scan ultrasound imagery and diagnosing hepatocellular carcinoma (HCC) using multiphase liver computed tomography (CT) scans. Diagnostic accuracy and specificity metrics paralleled those of seasoned radiologists, underscoring the system’s potential for integration into frontline healthcare.

Beyond accuracy, the photonic system showcased transformative efficiency advantages. While a conventional NVIDIA A100 GPU requires approximately 85 milliseconds to process a liver CT study, the photonic platform accomplished the same in a mere 0.8 milliseconds. Additionally, the energy expenditure per operation plummeted to an astonishing 0.608 femtojoules, a staggering 246-fold decrease compared to electronic counterparts consuming 150 femtojoules. This synergy of speed and efficiency paves the way for deploying AI diagnostics in resource-constrained or mobile medical environments like rural clinics and ambulances, dramatically expanding access to critical health services.

The system’s environmental implications cannot be overstated. Conventional AI’s sizable energy footprint contributes appreciably to healthcare’s carbon emissions. The BP/MoS2-based photonic platform fundamentally disrupts this model by combining ultrafast processing with near-negligible thermal dissipation, forging a sustainable pathway for green AI implementations in medicine. This breakthrough aligns with expanding global commitments to environmentally responsible technologies without sacrificing computational power.

Acknowledging the infancy of current implementations, the authors outline avenues for scaling. Presently limited to a single processing layer realized through two modulators, the system’s complexity and image resolution capacity necessitate expansion. A promising strategy involves wavelength-division multiplexing (WDM), exploiting the device’s ∼30 nm bandwidth resonances to channel up to 40 distinct wavelengths. This parallelism would amplify computational density approximately 40-fold while maintaining the existing clock rate, facilitating thousands of multiplications per network layer—an enhancement critical to tackling high-dimensional medical image data.

Device longevity and stability pose additional challenges, given the sensitivity of BP to environmental degradation. While the MoS2 layer affords interim encapsulation, the team plans industrial collaboration to pioneer large-scale protective coatings via atomic layer deposition of Al2O3 and scalable chemical vapor deposition processes. These advancements will bolster device durability, uniformity, and manufacturability, accelerating clinical adoption and commercial viability.

The study also signifies the maturation of fiber-based photonic neural networks into practical diagnostic platforms rather than experimental novelties. Optical fibers’ inherently low transmission loss (<0.2 dB/km), synergized with the modulator’s efficient 0.25 V·cm electro-optic response and expanded linear range, addresses critical bottlenecks impeding prior photonic computing endeavors. Consequently, the technology promises to empower future applications in drug discovery, genomics, and real-time clinical imaging with unmatched energy footprints.

The pioneering work led by Professor Han Zhang not only foregrounds interdisciplinary collaboration across physics, materials science, and biomedicine but also sets a precedent for industry-academia partnerships catalyzing the commercialization of ultrafast photonic devices poised to transform healthcare AI. As research progresses towards integrated multi-layer architectures and industrial encapsulation, the healthcare sector stands on the cusp of embracing a new generation of diagnostic tools that are faster, greener, and broadly accessible.

This heralds a paradigm shift where medical AI transcends the limitations inherent to electronic systems, embracing photon-driven computing as a sustainable, high-performance alternative that aligns with the twin imperatives of clinical excellence and environmental stewardship.

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Subject of Research: People

Article Title: Tunable phosphorene modulators – accelerating medical diagnosis with ultra-efficient photonic platforms

News Publication Date: 28-May-2026

References:
Zhang, H., Liu, Y., Wang, H., Zhu, H., et al. (2026). Tunable phosphorene modulators – accelerating medical diagnosis with ultra-efficient photonic platforms. Opto-Electronic Advances. DOI: 10.29026/oea.2026.250332

Image Credits: Professor Han Zhang of Shenzhen University

Keywords: photonic computing, black phosphorus, molybdenum disulfide, van der Waals heterostructure, microfiber knot resonator, electro-optic modulator, photonic neural network, medical imaging AI, energy efficiency, wavelength-division multiplexing, ultrafast diagnostics, sustainable healthcare

In the relentless quest to push the boundaries of semiconductor technology, researchers from the National University of Singapore (NUS) in collaboration with Applied Materials have unveiled a groundbreaking advancement that promises to reshape the future of microchip manufacturing. As the global semiconductor market races towards the trillion-dollar mark propelled by demand for faster computing, smarter artificial intelligence, and more compact electronic devices, addressing fundamental physical constraints in chip architecture has become a critical imperative. A newly developed atom-thin coating — a monolayer of crystalline tungsten disulfide (WS₂) — presents a transformative solution, elegantly overcoming a pressing bottleneck in chip miniaturization with profound implications for speed, reliability, and efficiency.

Traditional transistor miniaturization has long driven performance gains in integrated circuits. However, as transistors and their connecting copper wires shrink into the sub-10 nanometer regime, the surrounding protective layers—essential for maintaining electrical integrity—resist further reduction. These layers, typically tantalum-based barrier and liner materials, must maintain a minimum thickness of around four nanometers. In future nanoscale interconnects, these coatings may consume nearly half the cross-sectional area of the copper wiring, severely throttling electrical conductivity and device speed. The NUS and Applied Materials team’s innovation resides in synthesizing an ultrathin WS₂ film, less than a nanometer thick, that simultaneously fulfills the dual role of barrier and liner, drastically slashing thickness without compromising performance.

This pioneering coating, grown on industry-standard 200-millimeter silicon wafers using a low-temperature thermal atomic layer deposition process at 350 degrees Celsius, exemplifies a remarkable confluence of scalability and compatibility. The process avoids plasma, guaranteeing conformal deposition with precise thickness control down to a single atomic layer. Notably, this method achieves uniform coverage in high aspect ratio trenches, exceeding 95% conformity even at depth-to-width ratios of 10:1. Such attributes position this WS₂ monolayer as a viable drop-in replacement within existing semiconductor fabrication lines, bridging the formidable divide between laboratory breakthroughs and industrial applicability.

The WS₂ film’s threshold thickness of approximately 0.7 nanometers contrasts starkly with the conventional six nanometer standard, enabling a future 20-nanometer-wide copper wire to retain over 90% of its conductive cross-section. This relatively unobstructed copper path translates into reduced electrical resistance and elevated current carrying capacity, directly enhancing chip speed and energy efficiency. Extensive electrical testing demonstrated a monumental reduction in resistance—exceeding a factor of one million—compared to uncoated counterparts. The superior adhesion properties offered by the WS₂ liner promote smooth and continuous copper film formation, vital for producing reliable, defect-free interconnects at such ultrathin dimensions.

Beyond adhesion, the WS₂ monolayer serves as a robust diffusion barrier that impedes copper migration into silicon and dielectric materials under thermal and electrical stress. In accelerated aging tests, conventional barrier-free copper rapidly reacted with underlying silicon, forming deleterious intermetallic compounds and defect clusters. In stark contrast, WS₂-coated samples exhibited no such degradation, maintaining pristine interfaces even after prolonged exposure. Remarkably, devices using the atomically thin barrier exhibited projected lifetimes surpassing unprotected designs by an order of magnitude, signaling a dramatic leap in device durability.

Central to the WS₂ film’s efficacy is its polycrystalline structure composed of myriad tiny grains and grain boundaries arranged in random orientations. Unlike continuous single crystals, where aligned grain boundaries can form direct diffusion channels, the staggered grain orientation in multilayer WS₂ films creates a complex labyrinth that frustrates copper atom penetration akin to the staggered offsets in a well-built brick wall. This insight, derived from computational modeling by NUS chemists, identifies nanoscale grain architecture as a key parameter in optimizing barrier functionality, challenging the entrenched paradigm that perfect crystallinity is always advantageous.

The discovery that a single atomic layer can supplant the combined barrier and liner stack confronts long-held assumptions in semiconductor interconnect design. Prior industry standards dictated separate layers with cumulative thicknesses of several nanometers to provide necessary protection and adhesion. By collapsing these essential roles into an atomically thin WS₂ sheet, researchers open new vistas for continuing Moore’s Law scaling into unprecedented regimes. Professor Silvija Gradečak, co-director of the NUS-Applied Materials Corporate Lab, emphasizes that this fundamental shift in approach heralds a new class of interconnect architectures tailored to atomically precise materials engineering.

The process’s compatibility with low thermal budgets—vital for avoiding damage to complex multilayer device stacks—and its wafer-scale uniformity underscore its readiness for integration into contemporary manufacturing ecosystems. These breakthrough properties allow semiconductor producers to adopt WS₂-based coatings without extensive equipment overhauls or processing disruptions, facilitating rapid technology transfer. Dr. Hippolyte Astier highlights that such advancements transcend the immediate generation of chips, positioning the industry to harness this technology across multiple forthcoming innovations extending out to 2037 and beyond.

Applied Materials’ Director of Engineering, Dr. John Sudijono, notes the criticality of merging academic ingenuity with industrial constraints through the Corporate Lab framework. The collaborative environment enabled iterative validation of WS₂ films under realistic fabrication conditions, ensuring the material meets demanding reliability, scalability, and process compatibility benchmarks. This convergence of theory, experimentation, and commercialization is essential to bridging the notorious gulf between laboratory demonstrations and full-scale production deployments in semiconductor manufacturing.

Looking forward, the team is exploring refined control over WS₂ grain orientation and microscopic interface phenomena to fine-tune long-term stability and electrical behavior. Further studies aim to exploit the low-temperature vapor-phase growth technique to deposit other two-dimensional materials within diverse chip components, expanding the scope of atomic-scale coatings in integrated circuit design. This foundational research not only sets a new standard for interconnect barriers and liners but also signals the inception of a broader materials revolution in microelectronics.

The ultrathin WS₂ monolayer innovation thus represents a monumental stride towards sustaining the pace of semiconductor evolution. By ingeniously combining barrier and liner functionality into a single atomic layer with industrially scalable fabrication, this discovery resolves a pressing miniaturization bottleneck, empowering the continuation of chip performance scaling in an era where every nanoscale dimension counts. As the semiconductor industry confronts the ultimate physical limits of transistor and interconnect shrinking, atomically precise materials like WS₂ will be vital enablers of future computational breakthroughs, underpinning the technology transformations of tomorrow.

Subject of Research: Not applicable

Article Title: Low-temperature wafer-scale growth of ultrathin tungsten disulfide for bifunctional interconnect barriers and liners

News Publication Date: 31-Mar-2026

Web References: https://doi.org/10.1038/s41928-026-01592-6

Image Credits: College of Design and Engineering, NUS

Keywords

Semiconductors, Microelectronics, Materials engineering, Materials science

In a remarkable advancement that promises to redefine materials science, researchers have developed an extraordinary crystal exhibiting isotropic zero thermal expansion (ZTE) across an unprecedentedly wide temperature range. This pioneering work focuses on a sodalite-structured compound, Cd4Al6O12SO4, abbreviated as CASO, which maintains near-perfect dimensional stability from cryogenic temperatures as low as 11 K up to an exceptional 893 K. Such a feat addresses one of the most persistent challenges in materials engineering—achieving consistent, isotropic ZTE behavior over a broad thermal window, well beyond the typical operating limit of 400 K commonly found in existing materials.

Thermal expansion, the tendency of materials to expand or contract in response to temperature changes, significantly influences the reliability and precision of components in advanced technological systems. This is particularly critical in optics, aerospace, and microelectronics, where slight dimensional deviations can lead to catastrophic failures or degraded performance. Traditionally, materials exhibiting zero or near-zero thermal expansion either operate within narrow temperature bands or display anisotropic expansion, complicating their practical application. CASO emerges as a groundbreaking solution by combining flexibility and robustness within a closed-framework sodalite structure, a geometry celebrated for its remarkable stability.

What sets CASO apart is the ingenious incorporation of flexible interstitial groups realized via fractionally occupied atoms nestled within the sodalite framework. This strategic design introduces subtle positional disorder among ligand atoms, a feature that amplifies transverse atomic vibrations responsible for generating negative thermal expansion. These enhanced transverse vibrations effectively counterbalance the intrinsic positive thermal expansion that arises from atomic lattice expansion at elevated temperatures. As a result, CASO achieves a finely tuned, cancellatory interplay between positive and negative thermal expansion mechanisms, yielding an overall coefficient of thermal expansion measured at a negligible 0.21(23) × 10^−6 K^−1.

The research team’s exploration of CASO’s structural integrity under rigorous thermal cycling reveals impressive resilience, with the material maintaining its crystalline structure up to 1,100 K. This high thermal threshold expands the operational capacity of ZTE materials into regimes previously inaccessible, paving the way for applications in extreme thermal environments such as space exploration technologies and high-temperature sensor systems. Importantly, the integrity of CASO at such elevated temperatures also suggests potential advancements in engineering components that must endure thermal shocks without suffering deformation or failure.

Beyond mechanical stability, CASO exhibits a solar-blind ultraviolet (UV) transparency window extending down to 275 nm. This optical property signifies that the material can transmit UV light within this range without absorption, rendering it valuable for specialized UV optics and photonics applications. Devices requiring minimal optical noise and high stability, such as spaceborne UV detectors and precision laser optics, stand to benefit from CASO’s unique optical-transparency combined with its unparalleled thermal stability.

Optical materials are notoriously susceptible to thermal fluctuations, which induce refractive index changes and distort beam paths, complicating precision measurements and laser operations. CASO’s thermally induced optical fluctuations are at least twice as low as those found in conventional optical media, an achievement that underscores its potential to revolutionize precision optics. This property not only enhances the performance of existing systems but also reduces the need for complex compensatory mechanisms, simplifying designs and improving reliability in challenging thermal environments.

Substantially, CASO’s isotropic ZTE capacity challenges and expands the conventional understanding of thermomechanical behavior in framework materials. The sodalite structure itself provides a three-dimensional network that constrains thermal responses isotropically, a feature critical for applications demanding uniform response in all spatial directions. The partial occupation and flexibility of interstitial species suggest new dimensions of control over lattice dynamics and open pathways for tailored ZTE behavior through chemical modification and structural engineering.

The discovery underscores the significance of lattice dynamics modulation via controlled disorder—a concept that holds promise far beyond ZTE materials. Manipulating atomic vibrational modes through fractional occupancy and positional disorder reshapes how scientists can exploit negative thermal expansion while mitigating positive expansion, with implications for diverse fields from thermal barrier coatings to quantum materials.

Moreover, the work by Liu, Jiang, Molokeev, and colleagues establishes a universal strategy for engineering ZTE materials, thus serving as a blueprint for future crystal design. Rather than relying on complex composites or layered heterostructures, this approach leverages the intrinsic vibrational characteristics and flexibility within single-phase crystals. Such simplicity in design may accelerate industrial adoption and reduce costs associated with fabricating advanced thermal-stable materials.

The implications of this discovery are profound for the electronics and precision engineering industries. Components fabricated from CASO could maintain micron-scale tolerances across vast thermal gradients, thereby improving the longevity and performance of microelectromechanical systems (MEMS), precision optics, and high-frequency electronic devices. The broad temperature stability and isotropy also alleviate challenges associated with thermal mismatch and interface stresses in multilayered devices.

In addition to immediate technological applications, CASO’s unique properties may spur new scientific inquiries into the fundamental physics of thermal expansion. Investigating how flexible ligand atoms interact within complex frameworks provides insights into phonon dynamics, anharmonic lattice vibrations, and thermodynamic stability. This research advances theoretical models and computational simulations aiming to predict and control thermal properties at the atomic scale.

As society increasingly demands materials that withstand extreme environmental conditions without compromising structural or optical performance, CASO stands as a beacon of hope and innovation. Its extended temperature operational window combines mechanical robustness, optical transparency, and thermal stability into a single crystalline phase—attributes that are rarely coexistent. This convergence could lead to breakthroughs in harsh-environment sensors, satellite optics, and next-generation aerospace components.

Furthermore, the concept of embedding fractionally occupied flexible groups within stable frameworks could be extrapolated to customize other physical properties such as thermal conductivity, dielectric constants, and even magneto-thermal behavior. This multifunctionality potential situates CASO not just as a material of the present, but as a foundation for multifunctional crystals engineered at the atomic level for bespoke applications.

In conclusion, CASO embodies a paradigm shift in thermal expansion control, marrying structural ingenuity with atomic-scale dynamism. Its validation as an isotropic zero thermal expansion material from cryogenic to near-1100 K temperatures resolves a longstanding challenge and invites a new era of functional materials science. This elegant interplay of lattice architecture and vibrational physics heralds a future where materials no longer passively endure thermal fluctuations but actively neutralize them, ushering in unprecedented precision and resilience in advanced technologies.

Such groundbreaking discoveries, as reported by Liu and colleagues in Nature Chemistry, showcase the transformative power of crystal engineering and vibrational control. The research propels us beyond incremental advances to a realm where materials can be custom-tuned for the harshest and most demanding environments known to science and industry, reshaping what is possible across technological frontiers.

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Subject of Research: Isotropic zero thermal expansion properties in a sodalite-structured crystal (Cd4Al6O12SO4, CASO) across an exceptional temperature range.

Article Title: Isotropic zero thermal expansion in sodalite crystals from 11 to 893 K.

Article References:
Liu, Y., Jiang, X., Molokeev, M.S. et al. Isotropic zero thermal expansion in sodalite crystals from 11 to 893 K. Nat. Chem. (2026). https://doi.org/10.1038/s41557-026-02174-x

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41557-026-02174-x

A tiny electronic sensor that can be swallowed like a pill may soon provide one of the most accurate ways to measure body temperature. Engineers at the Massachusetts Institute of Technology (MIT) have developed a miniature device that continuously monitors temperature from inside the digestive tract, potentially helping doctors detect infections earlier and better manage […]

The post Swallowable ‘blueberry’ sensor could transform how we monitor body temperature appeared first on Knowridge Science Report.

In a groundbreaking advancement that could reshape the landscape of bioelectronic medicine, researchers have developed a wirelessly powered, bioresorbable electrical stimulation system with unprecedented programmable control over stimulation waveforms. This innovation integrates tissue-penetrating near-infrared (NIR) light to modulate electrical currents with precision, harnessing a novel bioresorbable silicon phototransistor as the cornerstone of its operation. Pioneering beyond earlier monophasic pulse devices, this technology allows for the delivery of monophasic, biphasic, and polyphasic stimulation patterns, significantly enhancing the versatility and therapeutic potential of implantable electrical stimulators designed to dissolve harmlessly after use.

Traditional electrical stimulators implanted in biological tissues have largely relied on wired connections or bulky batteries, impeding patient mobility and often necessitating additional surgeries for device removal. Bioresorbable devices emerged as a solution to these challenges by safely degrading in the body over time, eliminating the risks associated with permanent implants. However, these earlier systems primarily delivered monophasic pulses, limiting therapeutic precision and adaptability in complex treatments. The innovation reported by Kim, Seo, Wang, and colleagues introduces a new paradigm by integrating wireless power transfer via NIR light and programmable waveform control within a fully bioresorbable platform, thus extending the functional range and easing the clinical management of bioelectronic therapies.

Central to this system is the incorporation of bioresorbable silicon phototransistors engineered to serve as optoelectronic modulators within the electrical circuitry. When illuminated by externally applied near-infrared light that penetrates deep into biological tissues, these phototransistors effectively adjust current flows at critical circuit nodes. This optical modulation capability replaces conventional electronic control elements, which often rely on persistent power sources or invasive wiring, thereby enabling the device to operate autonomously while still allowing fine-tuning of stimulation parameters through non-contact optical inputs.

The adoption of near-infrared light as the wireless power and control mechanism is particularly significant. NIR light possesses the ability to penetrate through several centimeters of tissue without causing damage, providing a safe and efficient transmission channel between the external controller and the implanted device. This feature supports programmability in situ, empowering clinicians to tailor electrical stimulation waveforms dynamically after device implantation. Precisely controlling the shape, amplitude, and timing of the electrical pulses is crucial for optimizing therapeutic outcomes in applications such as neuroregeneration and cardiac pacing.

The research team demonstrated the remarkable versatility of their bioresorbable system by successfully delivering a variety of stimulation waveforms. Monophasic pulses, which are unidirectional current flows, serve as a baseline therapy. More complex biphasic and polyphasic waveforms, which alternate current direction and comprise multiple phases respectively, have been shown to minimize tissue damage and improve efficacy in various biosignaling contexts. The ability to generate these sophisticated patterns expands the therapeutic range of the device, potentially enabling treatments that were previously inaccessible using bioresorbable technologies.

In demonstrating practical utility, the device was tested in both small and large animal models, validating its capacity for clinically relevant electrical stimulation regimes. The system was effectively employed in single- and dual-chamber cardiac pacing, a critical intervention for managing arrhythmias and heart block. Through controlled electrical stimulation, the device could synchronize cardiac contractions, a feat crucial for restoring efficient cardiac output. These trials highlight the translational potential of the technology for future human applications, situating it as a promising alternative to current electronic pacemakers that require permanent implantation and battery replacements.

Further extending the functional scope, the researchers utilized the bioresorbable stimulator to activate phrenic neuromuscular pathways to either induce or block diaphragmatic movements. The phrenic nerve controls diaphragmatic excursion, essential for respiration, and its modulation has significant implications for respiratory therapies, such as in patients with spinal cord injuries or central hypoventilation syndromes. By enabling wireless, programmable neurostimulation of the phrenic nerve, the technology offers a minimally invasive approach to manage life-sustaining respiratory functions, with the added benefit of device degradation after the therapeutic window.

The bioresorbable nature of the silicon phototransistors and associated electronics assures that after fulfilling their therapeutic role, the devices gradually dissolve into biocompatible byproducts. This process circumvents the complications related to device explantation surgeries, reducing patient risk and healthcare costs. Moreover, the materials chosen minimize inflammatory responses and tissue irritation, facilitating seamless integration with host biology during the operational phase.

The engineering behind this system represents an intersection of materials science, optoelectronics, and biomedical engineering. The architecture leverages the semiconducting properties of silicon in thin-film, bioresorbable form, combined with circuit design optimized for minimal power consumption and maximal efficiency during NIR irradiation. These multidisciplinary innovations collectively overcome longstanding barriers in the fabrication of transient electronic implants capable of sophisticated programmable functionality.

Controlling the stimulation waveforms via light permits remote adjustment without physical connections, paving the way for real-time therapeutic modulation responsive to patient status or physiological signals. Future iterations could incorporate feedback mechanisms by integrating bioresorbable sensors that monitor tissue response, creating closed-loop systems for personalized medicine. This dynamic adaptability could be transformative in managing chronic conditions requiring variable and responsive electrical stimulation protocols.

This research also addresses one of the fundamental challenges of implantable devices: power delivery. The optical wireless power transfer circumvents the need for bulky batteries or explant procedures, offering renewed device miniaturization potential. Coupled with programmable phototransistors, these innovations enable multifunctional implants that conform to soft tissues and degrade harmlessly, a trifecta crucial for implantation in sensitive organs like the heart and nervous system.

The ability to deliver polyphasic waveforms through a single bioresorbable receiver unit is particularly noteworthy. Conventionally, generating these complex waveforms requires sophisticated circuitry and stable power sources, neither of which are trivial to implement in resorbable devices. The research showcases how optical control unlocks this capability without sacrificing bioresorbability or wireless operation, representing a paradigm shift in transient biomedical electronics.

The successful application of this device in large animal cardiac models bridges a critical gap toward clinical translation. Such models replicate human physiological scales and complexities far more closely than small animals, validating both the efficacy and safety of the system under conditions analogous to human therapies. This demonstration is an essential milestone on the path toward human clinical trials and eventual regulatory approval.

Moreover, the phrenic nerve stimulation experiments illustrate the broader applicability beyond cardiac pacing. Neuromuscular control via electrical stimulation has vast clinical relevance, from restoring motor function to modulating organ systems. The biodegradable, wireless nature of this system makes it especially suited for temporary therapeutic interventions, such as post-surgical recovery or transient disease states, where permanent implants would be unnecessary or undesirable.

While this work represents a major leap forward, ongoing challenges remain, including further optimization of device longevity relative to treatment durations, refinement of light delivery systems to maximize tissue penetration and minimize off-target effects, and integration with advanced biocompatible materials to tailor resorption timelines. Addressing these will be key to broadening the range of clinical applications and ensuring patient safety across diverse scenarios.

Overall, this wirelessly powered, light-controlled, bioresorbable stimulation system emerges as a versatile platform poised to transform bioelectronic therapies. Its elegant combination of programmable polyphasic waveform delivery, wireless operation via near-infrared light, and full bioresorbability addresses critical limitations of current implantable stimulators. By enabling sophisticated, minimally invasive, and transient electrical stimulation paradigms, this technology advances the frontiers of regenerative medicine, cardiac therapy, and neuromodulation, marking a significant milestone in the evolution of biomedical devices.

Subject of Research: Wireless bioresorbable electrical stimulation device with programmable waveform control using near-infrared light

Article Title: A wirelessly powered, light-controlled, bioresorbable stimulation system with programmable polyphasic waveforms

Article References:
Kim, J.U., Seo, S.G., Wang, H. et al. A wirelessly powered, light-controlled, bioresorbable stimulation system with programmable polyphasic waveforms. Nat Electron (2026). https://doi.org/10.1038/s41928-026-01655-8

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41928-026-01655-8

In a groundbreaking advancement for optoelectronic technology, researchers have unveiled a novel approach harnessing the unique properties of Si₃N₄/n-Si hybrid devices to achieve interface-controlled broadband photodetection. This development promises to revolutionize the efficiency and spectral range of photodetectors, devices integral to a wide array of applications from telecommunications to environmental monitoring. The study, recently published in Scientific Reports, highlights how meticulous control over material interfaces can dramatically enhance device performance, marking a significant leap forward in photodetector design and fabrication.

Photodetectors serve as the eyes of modern electronic systems, converting light into electrical signals that enable everything from digital imaging to fiber optic communication. Traditional photodetectors, however, have long been limited by narrow operational bandwidths and sensitivity constraints, curbing their effectiveness in emerging high-performance applications. By integrating silicon nitride (Si₃N₄) with n-type silicon (n-Si), the researchers have engineered a hybrid platform that deftly overcomes these limitations, exploiting interface phenomena to extend detection capabilities across a broad spectrum of electromagnetic radiation.

At the heart of this innovation lies the strategic manipulation of the Si₃N₄/n-Si interface. Silicon nitride, known for its excellent dielectric properties and chemical stability, acts as both a passivation layer and an optical modulator when interfaced with silicon. This interplay at the atomic and electronic scale shapes charge carrier dynamics, reduces surface recombination losses, and enhances photon absorption efficiency. Such interface engineering ensures that the hybrid device is not only highly sensitive but also capable of operating seamlessly over a wide range of wavelengths, from ultraviolet through visible to near-infrared.

The research team deployed advanced fabrication techniques to precisely control the deposition and interface formation of Si₃N₄ on the n-Si substrate. Utilizing plasma-enhanced chemical vapor deposition (PECVD), they achieved a uniform and defect-minimized nitride layer that adheres perfectly to the silicon surface. This meticulous fabrication step is essential as interface traps, commonly induced by imperfections, can severely degrade photodetector responsiveness and noise levels. By minimizing such imperfections, the hybrid device attains an unprecedented signal-to-noise ratio crucial for sensitive detection tasks.

Optical characterization of the Si₃N₄/n-Si hybrids revealed remarkable broadband responsivity, a parameter quantifying the device’s ability to convert incoming photons across various wavelengths into electric current. The devices demonstrated enhanced photoresponse not only in the visible spectrum but also extended into ultraviolet and infrared regions, surpassing conventional silicon-based photodetectors limited by the bandgap constraints of pure silicon. This broadband sensitivity opens the door to new applications where multispectral light detection is necessary without the need for separate sensors.

One of the pivotal mechanisms for this extended response is the formation of interfacial states that facilitate charge transfer and broaden the spectral detection range. These states effectively lower the energy barriers that typically restrict silicon’s photoresponse, enabling efficient utilization of photons with energies both above and below the traditional silicon bandgap. This effect is modulated by the thickness and stoichiometric composition of the Si₃N₄ layer, parameters finely tuned during device fabrication to optimize performance.

Beyond spectral coverage, the temporal response of these hybrid photodetectors is equally impressive. The devices exhibited fast switching times and low dark currents, essential characteristics for high-speed communications and low-light detection scenarios. Reduced dark current, a measure of unwanted noise in the absence of illumination, directly correlates with enhanced sensitivity, thereby allowing the detection of weak optical signals with unprecedented clarity.

Integration compatibility is another striking advantage of the Si₃N₄/n-Si system. Both materials are well-established in mainstream semiconductor manufacturing, meaning that this innovation can be seamlessly incorporated into existing silicon-based electronic platforms. This compatibility facilitates scaling production while maintaining cost efficiency, a critical factor for commercial adoption in industries such as consumer electronics, healthcare diagnostics, and environmental sensing.

The research also delves into the underlying physics governing the device operation. Through combined experimental and theoretical analyses, the study elucidates charge carrier transport across the interface, the role of interface dipoles, and modulation of the built-in electric field that directs photogenerated carriers. Such detailed understanding offers a roadmap for further improvements, potentially inspiring future hybrid systems with tailored optoelectronic properties suitable for specific industrial applications.

In terms of real-world application, these hybrid photodetectors could significantly enhance the performance of cameras, optical coherence tomography devices, and remote sensing instruments. The broadband detection capability reduces the reliance on multiple sensors, simplifying device architectures and improving reliability. Additionally, their fast response times and stability under various environmental conditions are promising for deployment in harsh or variable environments, including space exploration and autonomous vehicle navigation.

This research marks a notable shift in photodetector technology by emphasizing interface engineering to transcend inherent material limitations. By capitalizing on the complementary properties of Si₃N₄ and n-Si junctions, the study injects fresh momentum into the pursuit of universal photodetectors that excel in speed, sensitivity, and spectral range. The findings underscore the vast potential lying in hybrid material systems, motivating continued exploration into interface-controlled photonic devices.

Looking forward, the researchers suggest exploring further modifications to the Si₃N₄ layer such as doping or introducing nanoscale structuring to tailor the interface behavior. Such advancements may unlock new functionalities like polarization sensitivity or even tunable wavelength selectivity, pushing hybrid photodetectors beyond current performance frontiers. These directions align with the broader scientific quest to develop smarter, more adaptable optoelectronic components for the next generation of information and sensing technologies.

In conclusion, the Si₃N₄/n-Si hybrid photodetector described in this study represents a pivotal development that combines material science innovation with practical engineering to address longstanding challenges in photodetection. Its broadband capability, operational stability, and integration potential poise it as a top candidate for a wide spectrum of applications demanding fast, efficient, and reliable light detection. As industries continue to demand more from photonic devices, such interface-controlled systems stand out as a transformative solution poised to redefine the future of photodetection technology.

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Subject of Research: Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices

Article Title: Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices

Article References:
Manfo, T.A., Yıldız, D.E., Bağcı, C. et al. Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices. Sci Rep (2026). https://doi.org/10.1038/s41598-026-57951-y

Image Credits: AI Generated

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