Articles with public access mandates - Kailai XuLearn more
Not available anywhere: 1
Autonomous Inversion of in Situ Deformation Measurement Data for Injection-Induced Stress Change
J Burghardt, T Bao, A Tartakovsky, K Xu, E Darve
ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2023-0773, 2023
Mandates: US Department of Energy
Available somewhere: 12
Learning constitutive relations from indirect observations using deep neural networks
DZ Huang, K Xu, C Farhat, E Darve
Journal of Computational Physics 416, 109491, 2020
Mandates: US Department of Energy
Learning constitutive relations using symmetric positive definite neural networks
K Xu, DZ Huang, E Darve
Journal of Computational Physics 428, 110072, 2021
Mandates: US Department of Energy
Physics constrained learning for data-driven inverse modeling from sparse observations
K Xu, E Darve
Journal of Computational Physics 453, 110938, 2022
Mandates: US Department of Energy
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification
W Zhu, K Xu, E Darve, B Biondi, GC Beroza
Geophysics 87 (1), R93-R109, 2022
Mandates: US Department of Energy
A general approach to seismic inversion with automatic differentiation
W Zhu, K Xu, E Darve, GC Beroza
Computers & Geosciences 151, 104751, 2021
Mandates: US Department of Energy
Coupled time‐lapse full‐waveform inversion for subsurface flow problems using intrusive automatic differentiation
D Li, K Xu, JM Harris, E Darve
Water Resources Research 56 (8), e2019WR027032, 2020
Mandates: US Department of Energy
Learning viscoelasticity models from indirect data using deep neural networks
K Xu, AM Tartakovsky, J Burghardt, E Darve
Computer Methods in Applied Mechanics and Engineering 387, 114124, 2021
Mandates: US Department of Energy
Solving inverse problems in stochastic models using deep neural networks and adversarial training
K Xu, E Darve
Computer Methods in Applied Mechanics and Engineering 384, 113976, 2021
Mandates: US Department of Energy
Isogeometric collocation method for the fractional Laplacian in the 2D bounded domain
K Xu, E Darve
Computer Methods in Applied Mechanics and Engineering 364, 112936, 2020
Mandates: US Department of Energy
Calibrating multivariate Lévy processes with neural networks
K Xu, E Darve
Mathematical and Scientific Machine Learning, 207-220, 2020
Mandates: US Department of Energy
Learning generative neural networks with physics knowledge
K Xu, W Zhu, E Darve
Research in the Mathematical Sciences 9 (2), 33, 2022
Mandates: US Department of Energy
ADCME MPI: Distributed Machine Learning for Computational Engineering.
K Xu, E Darve
AAAI Spring Symposium: MLPS, 2021
Mandates: US Department of Energy
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