Application of artificial neural networks for the prediction of interface mechanics: a study on grain boundary constitutive behavior. - Mauricio Fernández; Shahed Rezaei; Jaber Rezaei Mianroodi; Felix Fritzen; Stefanie Reese (Adv. Model. Simul. Eng. Sci., 2020)

Development and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials. - Mohammad Khorrami; Jaber Rezaei Mianroodi; Pratheek Shanthraj; Bob Svendsen (CoRR, 2020)

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence. - Jaber Rezaei Mianroodi; Shahed Rezaei; Nima H. Siboni; Bai-Xiang Xu; Dierk Raabe (CoRR, 2021)

Accelerating phase-field-based simulation via machine learning. - Iman Peivaste; Nima H. Siboni; Ghasem Alahyarizadeh; Reza Ghaderi; Bob Svendsen; Dierk Raabe; Jaber Rezaei Mianroodi (CoRR, 2022)

Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning. - Jaber Rezaei Mianroodi; Nima H. Siboni; Dierk Raabe (CoRR, 2022)

Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids. - Sarthak Kapoor; Jaber Rezaei Mianroodi; Mohammad Khorrami; Nima H. Siboni; Bob Svendsen (CoRR, 2022)

Accelerating the design of compositionally complex materials via physics-informed artificial intelligence. - Dierk Raabe; Jaber Rezaei Mianroodi; Jörg Neugebauer (Nat. Comput. Sci., 2023)

Divergence-free neural operators for stress field modeling in polycrystalline materials. - Mohammad Khorrami; Pawan Goyal 003; Jaber Rezaei Mianroodi; Bob Svendsen; Peter Benner; Dierk Raabe (CoRR, 2024)