Multi-dimensional characteristic construction methods of computational materials under big data environment

Multi-dimensional characteristic construction methods of computational materials under big data environment

Characteristic construction is an important part of material data analysis. In the big data environment, the development of material data science will have implications for multidimensional data analysis methods. Among these, the machine learning method for multidimensional data models can be widely...

Full description

Bibliographic Details
Main Authors: Lihao Chen, Shuopu Wang, Chen Zou, Ben Xu, Ke Bi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-07-01
Series:ChemPhysMater
Subjects:
Material characterization
Feature extraction
High-order analysis
Data mining
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2772571522000171

Internet

http://www.sciencedirect.com/science/article/pii/S2772571522000171

Similar Items