2 citations · 2 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…
cond-mat.mtrl-sci2023★ 2 cited
Influence of surface energy anisotropy on nucleation and crystallographic texture of polycrystalline deposits
Martin Minar, Nele Moelans
This paper aims to elucidate the role of interface energy anisotropy in orientation selection during nucleation of new grains in a polycrystalline film growth. An assessment of (he…