Applying machine learning to balance performance and stability of high energy density materials

Applying machine learning to balance performance and stability of high energy density materials

Summary: The long-standing performance-stability contradiction issue of high energy density materials (HEDMs) is of extremely complex and multi-parameter nature. Herein, machine learning was employed to handle 28 feature descriptors and 5 properties of detonation and stability of 153 HEDMs, wherein...

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Bibliographic Details
Main Authors: Xiaona Huang, Chongyang Li, Kaiyuan Tan, Yushi Wen, Feng Guo, Ming Li, Yongli Huang, Chang Q. Sun, Michael Gozin, Lei Zhang
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:iScience
Subjects:
Computational Materials Science
Computational Method in Materials Science
Energy Materials
Materials Design
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422100208X

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http://www.sciencedirect.com/science/article/pii/S258900422100208X

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