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Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys

  • Published:2020-11 Issue: Volume:371 Page:113281
  • ISSN:0045-7825
  • Container-title:Computer Methods in Applied Mechanics and Engineering
  • language:en
  • Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Teichert G.H.,Natarajan A.R.,Van der Ven A.,Garikipati K.

Funder

National Science Foundation

Defense Advanced Research Projects Agency

Toyota Research Institute

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference42 articles.

1. Free energy of a nonuniform system. i interfacial energy;Cahn;J. Chem. Phys.,1958

2. A microscopic theory for antiphase boundary motion and its application to antiphase boundary coarsening;Allen;Acta Metall.,1979

3. Thermodynamically consistent variational principles with applications to electrically and magnetically active systems;García;Acta Mater.,2004

4. Phase-Field Methods in Materials Science and Engineering;Provatas,2011

5. Mathematical Foundations of Elasticity;Marsden,1994

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