31 citations · 38 across the 5 of their papers we have counts for
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cs.CE2024★ 31 cited
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
Saurabh Deshpande, Hussein Rappel, Mark Hobbs +2
Many real-world applications demand accurate and fast predictions, as well as reliable uncertainty estimates. However, quantifying uncertainty on high-dimensional predictions is st…
cs.CE2024★ 6 cited
Quantum-informed simulations for mechanics of materials: DFTB+MBD framework
Zhaoxiang Shen, Raúl I. Sosa, Stéphane P. A. Bordas +2
The macroscopic behaviors of materials are determined by interactions that occur at multiple lengths and time scales. Depending on the application, describing, predicting, and unde…