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Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.

C. Cai, N. Vlassis, L. Magee, R. Ma, Z. Xiong, B. Bahmani, T. Wong, Y. Wang, and W. Sun. CoRR, (2021)

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Maria Vlassis

Georgios Vlassis

Vlassis Vassilakopoulos

Nikolaos Mandrakas

Other publications of authors with the same name

Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity.N. Vlassis, R. Ma, and W. Sun. CoRR, (2020)Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.C. Cai, N. Vlassis, L. Magee, R. Ma, Z. Xiong, B. Bahmani, T. Wong, Y. Wang, and W. Sun. CoRR, (2021)Towards Trustworthy Geometric Deep Learning for Elastoplasticity.N. Vlassis. Columbia University, USA, (2021)MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints.N. Vlassis, P. Zhao, R. Ma, T. Sewell, and W. Sun. CoRR, (2021)Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties.N. Vlassis, and W. Sun. CoRR, (2023)Synthesizing realistic sand assemblies with denoising diffusion in latent space.N. Vlassis, W. Sun, K. Alshibli, and R. Regueiro. CoRR, (2023)Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening.N. Vlassis, and W. Sun. CoRR, (2020)Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter.R. Villarreal, N. Vlassis, N. Phan, T. Catanach, R. Jones, N. Trask, S. Kramer, and W. Sun. CoRR, (2022)Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity.N. Vlassis, and W. Sun. CoRR, (2022)Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation.X. Sun, B. Bahmani, N. Vlassis, W. Sun, and Y. Xu. CoRR, (2021)

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Disambiguation of "Vlassis, Nikolaos"

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Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.

Please choose a person to relate this publication to

Maria Vlassis

Maria Vlassis

Georgios Vlassis

Vlassis Vassilakopoulos

Nikolaos Mandrakas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Vlassis, Nikolaos"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.

Please choose a person to relate this publication to

Maria Vlassis

Maria Vlassis

Georgios Vlassis

Vlassis Vassilakopoulos

Nikolaos Mandrakas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.