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Hydrogen-bond-engineered polymer dielectrics for 250 °C operation enabled by deep-learning-based virtual screening
Energy Environ. Sci., 2026, Advance Article
DOI: 10.1039/D6EE01214K, Paper
DOI: 10.1039/D6EE01214K, Paper
Jinfeng Li, Tao Lu, Ruize Wang, Shiqi Wang, Wei Jiang, Binhan Lv, Yan Gao, Tian Zhang
Deep learning-guided virtual screening identifies a hydrogen-bonding polymer additive (O-PU) that induces a low-entropy nanocrystalline network in polyimide, delivering a record discharged energy density of 5.99 J cm−3 with >90% efficiency at 250 °C.
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
Deep learning-guided virtual screening identifies a hydrogen-bonding polymer additive (O-PU) that induces a low-entropy nanocrystalline network in polyimide, delivering a record discharged energy density of 5.99 J cm−3 with >90% efficiency at 250 °C.
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
