Teaching solid mechanics to artificial intelligence—a fast solver for 
heterogeneous materials

Mianroodi, Jaber Rezaei; Hamidi Siboni, Nima; Raabe, Dierk

doi:10.1038/s41524-021-00571-z

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials

MPS-Authors

/persons/resource/persons179523

Mianroodi, Jaber Rezaei
Computational Sustainable Metallurgy, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

/persons/resource/persons125330

Raabe, Dierk
Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

s41524-021-00571-z.pdf
(Publisher version), 5MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Mianroodi, J. R., Hamidi Siboni, N., & Raabe, D. (2021). Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials. npj Computational Materials, 7: 99. doi:10.1038/s41524-021-00571-z.

Cite as: https://hdl.handle.net/21.11116/0000-0009-03E5-1

Abstract

There is no abstract available