Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning

Journal article

Open access

Peer reviewed

Yifeng Tian, Soumendu Bagchi, Liam Myhill, Giacomo Po, Enrique Martinez, Yen Ting Lin, Nithin Mathew and Danny Perez

npj computational materials, Vol.10(1), pp.219-12

2024-09-14

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https://doi.org/10.1038/s41524-024-01394-4View

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Title: Data-driven modeling of dislocation mobility from atomistics using physics-informed machine learning
Creators: Yifeng Tian
Soumendu Bagchi
Liam Myhill
Giacomo Po
Enrique Martinez
Yen Ting Lin
Nithin Mathew
Danny Perez
Publication Details: npj computational materials, Vol.10(1), pp.219-12
Academic Unit: CoE - Mechanical & Aerospace Engineering; College of Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991032300798402976