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20232026
most citedPrediction of local elasto-plastic stress and strain fields in a two-phase composite microstructure using a deep convolutional neural network

61 citations · 63 across the 2 of their papers we have counts for

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cs.LG2025

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs

Ishan Khurjekar, Indrashish Saha, Lori Graham-Brady +1

Systems governed by partial differential equations (PDEs) require computationally intensive numerical solvers to predict spatiotemporal field evolution. While machine learning (ML)…