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Updated: Jan 13, 2026

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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用深度神经网络,激活能量和激活度来分析缓慢加热速度的聚乙烯醇TGA数据

Abdulrazak Jinadu Otaru1, Zaid Abdulhamid Alhulaybi Albin Zaid2

  • 1Department of Chemical Engineering, College of Engineering, King Faisal University, Al Ahsa, 31982, Saudi Arabia. aotaru@kfu.edu.sa.

Scientific reports
|October 30, 2025
PubMed
概括

这项研究增强了深度神经网络 (DNN) 模型,通过包括降解时间来分析聚乙烯醇 (PVA) 热分解. 改进的DNN准确地预测实验数据,并提供像激活能量这样的动力参数.

关键词:
激活能量是什么 激活能量是什么激活度是指激活度是指激活度.深度神经网络是一种深度神经网络.聚乙烯醇的使用方法关于TGA数据的数据

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