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Updated: Jun 25, 2025

Preparation of Liquid-exfoliated Transition Metal Dichalcogenide Nanosheets with Controlled Size and Thickness: A State of the Art Protocol
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Preparation of Liquid-exfoliated Transition Metal Dichalcogenide Nanosheets with Controlled Size and Thickness: A State of the Art Protocol

Published on: December 20, 2016

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机器学习使用SHAP分析预测了缺陷的二维过渡金属二甲基化物中的不弹性.

Ankit Anuragi1, Ankit Das1, Akash Baski1

  • 1Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India. sankha@metal.iitkgp.ac.in.

Physical chemistry chemical physics : PCCP
|May 21, 2024
PubMed
概括

机器学习模型预测有缺陷的二维过渡金属二二化物 (TMDC) 的机械性能. 这项研究提供了对调整材料属性的见解,同时解决了机械可靠性的问题.

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In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
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