Physically interpretable prediction of polymer dielectric constants for accelerated material screening in energy storage systems

This work introduces a simple and physically interpretable multiple linear regression model that predicts dielectric constants of organic polymers directly from repeating-unit elemental composition and acyclic amine content, without reliance on proprietary software or high-dimensional computer-gener...

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Autori principali:	Mohammad Hossein Keshavarz, Ehsan Shahrousvand
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-05-01
Serie:	Chemical Engineering Journal Advances
Soggetti:	Dielectric constant Polymer dielectrics Energy storage capacitors High-voltage insulation Data-driven modeling Interpretable predictive model
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2666821126001596
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