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Updated: Jun 25, 2025

Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques
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Published on: November 11, 2013

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构建和评估基于的无序岩盐的机器学习原子间潜力

Vijay Choyal1, Nidhish Sagar1, Gopalakrishnan Sai Gautam1

  • 1Department of Materials Engineering, Indian Institute of Science, Bengaluru 560012, Karnataka, India.

Journal of chemical theory and computation
|May 24, 2024
PubMed
概括

机器学习的原子间潜能 (MLIP) 准确地模拟复杂的电池材料. 人工神经网络潜能 (AENET) 对无序的岩盐显示出卓越的准确性和可转移性,使新的电极发现成为可能.

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CFT focuses on...
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