Reinforcement learning strategy for control of microstructure evolution in phase field models

Author:

Yang Haiying,Demkowicz Michael J.

Funder

High Performance Research Computing, Texas A and M University

National Science Foundation

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference31 articles.

1. Reliability-based topology optimization with stochastic heterogeneous microstructure properties;Gao;Mater. Des.,2021

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3. Metastable high entropy alloys: an excellent defect tolerant material for additive manufacturing;Agrawal;Mater. Sci. Eng. a-Struct. Mater. Propert. Microstruct. Process.,2021

4. Fundamentals and application of solid-state phase transformations for advanced high strength steels containing metastable retained austenite;Dai;Mater. Sci. Eng. R-Rep.,2021

5. In situ investigation of chemomechanical effects in thiophosphate solid electrolytes;Dixit;Matter,2020

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