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Towards the construction of a virtual yeast
Nature, Published online: 01 July 2026; doi:10.1038/s41586-026-10574-9
A virtual yeast, an artificial intelligence-driven agent for modelling eukaryotic cellular behaviours, is described.
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The interplay between stack pressure, mechanical expansion and degradation pathways in lithium-ion batteries
Nature Energy, Published online: 29 June 2026; doi:10.1038/s41560-026-02087-6
While electrochemical degradation in lithium-ion batteries is well studied, the role of stack pressure in long-term cycling remains unclear. Here the researchers use a high-precision pressure-controlled dilatometry tool to optimize stack pressure and understand how it prolongs battery lifetime.
Spatial distribution of the proteome in the human body and in cancers
Nature, Published online: 17 June 2026; doi:10.1038/s41586-026-10660-y
A spatially resolved map of the human proteome across a variety of healthy tissues and cancers provides wide-ranging insights in developmental biology and oncology, and could aid the identification of therapeutic targets and development of treatments for cancer.
Inline quality grading of commercial lithium-ion battery manufacturing via data-efficient learning and transferable assessment
Energy Environ. Sci., 2026, Advance Article
DOI: 10.1039/D6EE02209J, Paper
DOI: 10.1039/D6EE02209J, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Chen Liang, Shengyu Tao, Chunqiu Xia, Xinghao Huang, Hang Hu, Rui Wang, Daoyi Dong, Ziyang Lyu, Guangmin Zhou, Huadong Mo
DELTA enables rapid inline quality grading of commercial lithium-ion batteries using early-cycle data and limited labels, reducing dependence on long-cycle testing while maintaining transferable assessment across materials and operating conditions.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
DELTA enables rapid inline quality grading of commercial lithium-ion batteries using early-cycle data and limited labels, reducing dependence on long-cycle testing while maintaining transferable assessment across materials and operating conditions.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
Efficient and accurate neural-field reconstruction using resistive memory
Nature, Published online: 10 June 2026; doi:10.1038/s41586-026-10646-w
A co-optimized AI hardware–software system using resistive-memory computing improves energy efficiency and parallelism for sparse signal reconstruction in imaging and three-dimensional vision applications.
Molecular engineering of conjugated polymer cathodes via the one-pot preparation of high-rate and ultra-stable aqueous/seawater Zn-ion batteries under harsh conditions
Energy Environ. Sci., 2026, 19,3512-3523
DOI: 10.1039/D6EE00199H, Paper
DOI: 10.1039/D6EE00199H, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Quanwei Ma, Cheng Ji, Zeyu Wang, Rui Wang, Longhai Zhang, Hongbao Li, Ying Xu, Qianyu Zhang, Dongliang Chao, Chaofeng Zhang
Featuring heterocyclic conjugated units, PMPZ exhibits enhanced electron affinity and π-delocalization, while its synergistic CO/CN sites enable multielectron redox for efficient charge storage and fast kinetics over a wide temperature range.
The content of this RSS Feed (c) The Royal Society of Chemistry
Featuring heterocyclic conjugated units, PMPZ exhibits enhanced electron affinity and π-delocalization, while its synergistic CO/CN sites enable multielectron redox for efficient charge storage and fast kinetics over a wide temperature range.
The content of this RSS Feed (c) The Royal Society of Chemistry
Bio-based encapsulation materials enabling recyclable and stable perovskite solar cells
Energy Environ. Sci., 2026, 19,2900-2909
DOI: 10.1039/D5EE07173A, Paper
DOI: 10.1039/D5EE07173A, Paper
Open Access  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Chengda Ge, Yingying Liu, Rui Wang, Lei Song, Xiang Deng, Gengxin Du, Yidan An, Lingyi Ke, Yiting Jiang, Tingfeng Lei, Quanrun Qiu, Hin-Lap Yip
We developed PTFF, a bio-based encapsulation polymeric material that is compatible with existing hot-pressing processes, is non-destructive to perovskites, and is closed-loop recyclable.
The content of this RSS Feed (c) The Royal Society of Chemistry
We developed PTFF, a bio-based encapsulation polymeric material that is compatible with existing hot-pressing processes, is non-destructive to perovskites, and is closed-loop recyclable.
The content of this RSS Feed (c) The Royal Society of Chemistry
