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20222026
most citedAn efficient and quantitative phase-field model for elastically heterogeneous two-phase solids based on a partial rank-one homogenization scheme

9 citations · 22 across the 6 of their papers we have counts for

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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…