A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design

26 January 2021

Papers citing "A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design"

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Title
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions Joseph B. Choi Phong C. H. Nguyen O. Sen H. Udaykumar Stephen Seung-Yeob Baek PINN AI4CE 26 11 0 15 Nov 2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling Ruiyuan Kang D. Kyritsis P. Liatsis AI4CE PINN 16 5 0 12 Oct 2022