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Updated: Jun 29, 2025

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

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探索精确的机器学习模型,快速估计各种能量材料的稳定性

Qiaolin Gou1, Jing Liu1, Haoming Su1

  • 1College of Chemistry, Sichuan University, Chengdu 610064, China.

iScience
|March 25, 2024
PubMed
概括

开发精确的机器学习模型对于能量材料 (EMs) 是至关重要的. 这项研究引入了一种新的XGBoost模型来预测键解离能 (BDE),增强各种EMS的稳定性评估.

关键词:
人工智能的人工智能是人工智能.计算材料科学 计算材料科学能量材料是能源材料.机器学习是机器学习.

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