Advances in data‐assisted high‐throughput computations for material design

Advances in data‐assisted high‐throughput computations for material design

Abstract Extensive trial and error in the variable space is the main cause of low efficiency and high cost in material development. The experimental tasks can be reduced significantly in the case that the variable space is narrowed down by reliable computer simulations. Because of their numerous var...

Full description

Saved in:
Bibliographic Details
Main Authors: Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang
Format: Article
Language:English
Published: Wiley-VCH 2023-09-01
Series:Materials Genome Engineering Advances
Subjects:
artificial intelligence
data mining
high‐throughput computation
material design and screening
materials genome engineering
Online Access:https://doi.org/10.1002/mgea.11
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/mgea.11

Similar Items