Machine learning driven design of polymer dielectrics for high temperature capacitive energy storage

Energy & Environmental Science 2026

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Authors: Dongduan Liu, Ruojie Cheng, Qiao Li, Feng Wang, Y Li, Hongxiao Yang, Mingfeng Shen, Qian Zhou, Jinliang He, Qi Li, Chao Yuan
DOI: 10.1039/d6ee01953f
Cited by: 9
References: 74

Abstract

A machine learning-driven high-throughput screening framework for discovering high-performance high-temperature energy storage dielectric materials.

Fields of Study & Subjects

Dielectric materials and actuators Advanced Sensor and Energy Harvesting Materials Machine Learning in Materials Science

Publication details

Journal / source
Energy & Environmental Science
Publisher
Royal Society of Chemistry (RSC)
Volume
19
Issue
14
Pages
4651–4664
Publication date
1 January 2026
Language
EN