Work

High-Throughput Calculations and Machine Learning for Discovering Halide-Type Solid-State Electrolyte Materials

Year: 2025

Type: article

Source: Chemistry of Materials

DOI: 10.1021/acs.chemmater.5c01169

Authors: Zhenming Xu, Yinghui Xia, Yinghui Xia, Huiyu Duan, Jianhao Li, Yixi Lin, Yuqiao Jiang, Xiangmin Feng, Zhenhui Liu, Mingbo Zheng, Yongyao Xia, Yongyao Xia

Institutions: Nanjing University of Aeronautics and Astronautics, Fudan University, Collaborative Innovation Center of Chemistry for Energy Materials

Language: English

Topic: Advanced Battery Materials and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G3720641551

OpenAlex ID: W4413580604

FWCI: 2.732

Cites: 76

Cited by: 12

Related to: 10