Jaber Rezaei Mianroodi

According to our database, Jaber Rezaei Mianroodi authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Divergence-free neural operators for stress field modeling in polycrystalline materials.

Mohammad Khorrami, Pawan Goyal, Jaber Rezaei Mianroodi, Bob Svendsen, Peter Benner, Dierk Raabe

CoRR, 2024

2023

Accelerating the design of compositionally complex materials via physics-informed artificial intelligence.

Dierk Raabe, Jaber Rezaei Mianroodi, Jörg Neugebauer

Nat. Comput. Sci., 2023

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

Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning.

Jaber Rezaei Mianroodi, Nima H. Siboni, Dierk Raabe

CoRR, 2022

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

2021

Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence.

Jaber Rezaei Mianroodi, Shahed Rezaei, Nima H. Siboni, Bai-Xiang Xu, Dierk Raabe

CoRR, 2021

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

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