9 citations · 11 across the 4 of their papers we have counts for
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cond-mat.dis-nn2023★ 1 cited
Machine Learning Aided Multiscale Magnetostatics
Fadi Aldakheel, Celal Soyarslan, Hari Subramani Palanisamy +1
Computational material modeling using advanced numerical techniques speeds up the design process and reduces the costs of developing new engineering products. In the field of multi…
cond-mat.mtrl-sci2023
Physics-informed machine learning in asymptotic homogenization of elliptic equations
Celal Soyarslan, Marc Pradas
We apply physics-informed neural networks (PINNs) to first-order two-scale periodic asymptotic homogenization of the property tensor in a generic elliptic equation. The problem of…