Machine learning-guided synthesis of advanced inorganic materials

Machine learning-guided synthesis of advanced inorganic materials

Synthesis of materials with minimum number of trials is of paramount importance towards the acceleration of advanced materials development. The enormous complexity involved in existing multi-variable synthesis methods leads to high uncertainty, numerous trials and exorbitant cost. Recently, machine...

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Bibliographic Details
Main Authors: Tang, Bijun, Lu, Yuhao, Zhou, Jiadong, Chouhan, Tushar, Wang, Han, Golani, Prafful, Xu, Manzhang, Xu, Quan, Guan, Cuntai, Liu, Zheng
Other Authors: School of Materials Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Materials
Machine Learning (ML)
Progressive Adaptive Model (PAM)
Online Access:https://hdl.handle.net/10356/146742

Internet

https://hdl.handle.net/10356/146742

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