Early Prediction of Ion Transport Properties in Solid Polymer Electrolytes Using Machine Learning and System Behavior-Based Descriptors of Molecular Dynamics Simulations-Reference-Cited by-同舟云学术

Early Prediction of Ion Transport Properties in Solid Polymer Electrolytes Using Machine Learning and System Behavior-Based Descriptors of Molecular Dynamics Simulations

Published:2023-06-23 Issue:13 Volume:56 Page:4787-4799
ISSN:0024-9297
Container-title:Macromolecules
language:en
Short-container-title:Macromolecules

Author:

Khajeh Arash¹^ORCID,Schweigert Daniel¹,Torrisi Steven B.¹,Hung Linda¹,Storey Brian D.¹,Kwon Ha-Kyung¹^ORCID

Affiliation:

1. Energy & Materials Division, Toyota Research Institute, 4440 El Camino Real, Los Altos, California 94022, United States

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Inorganic Chemistry,Polymers and Plastics,Organic Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.macromol.3c00416

Reference95 articles.

1. Single lithium-ion conducting solid polymer electrolytes: advances and perspectives

2. High-Safety All-Solid-State Lithium-Metal Battery with High-Ionic-Conductivity Thermoresponsive Solid Polymer Electrolyte

3. Comprehensively-upgraded polymer electrolytes by multifunctional aramid nanofibers for stable all-solid-state Li-ion batteries

4. Realization of high performance polycarbonate-based Li polymer batteries

5. Polymer Electrolytes for Lithium-Based Batteries: Advances and Prospects

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of functional and sustainable polymers assisted by artificial intelligence;Nature Reviews Materials;2024-08-19

2. Convergence of Artificial Intelligence, Machine Learning, Cheminformatics, and Polymer Science in Macromolecules;Macromolecules;2024-08-09

3. Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte;Advanced Energy Materials;2024-02-14

4. A cloud platform for sharing and automated analysis of raw data from high throughput polymer MD simulations;APL Machine Learning;2023-11-17