14 citations · 14 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
Deep Learning for Accelerated Long-Horizon Forecasting of Multicomponent Multiphase Microstructure Evolution in High-Entropy Alloys
Hamidreza Razavi, Nele Moelans
Phase-field modeling provides a powerful approach for predicting microstructure evolution but becomes computationally prohibitive for multicomponent and multiphase systems over lar…
cond-mat.mtrl-sci2025
Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
Hamidreza Razavi, Nele Moelans
This paper presents a physics-informed framework that integrates graph convolutional networks (GCN) with long short-term memory (LSTM) architecture to forecast microstructure evolu…
cs.RO2023★ 14 cited
Augmenting Inertial Motion Capture with SLAM Using EKF and SRUKF Data Fusion Algorithms
Mohammad Mahdi Azarbeik, Hamidreza Razavi, Kaveh Merat +1
Inertial motion capture systems widely use low-cost IMUs to obtain the orientation of human body segments, but these sensors alone are unable to estimate link positions. Therefore,…