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06/07/2023
Synthesizing realistic sand assemblies with denoising diffusion in latent space
The shapes and morphological features of grains in sand assemblies have ...
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02/24/2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties
In this paper, we introduce a denoising diffusion algorithm to discover ...
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09/27/2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter
Experimental data is costly to obtain, which makes it difficult to calib...
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07/30/2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity
The history-dependent behaviors of classical plasticity models are often...
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11/29/2021
MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints
We present a machine learning framework to train and validate neural net...
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05/20/2021
