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Recurrent Localization Networks applied to the Lippmann-Schwinger
  Equation
v1v2 (latest)

Recurrent Localization Networks applied to the Lippmann-Schwinger Equation

Computational materials science (Comput. Mater. Sci.), 2021
29 January 2021
Conlain Kelly
S. Kalidindi
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Recurrent Localization Networks applied to the Lippmann-Schwinger Equation"

3 / 3 papers shown
Equilibrium Conserving Neural Operators for Super-Resolution Learning
Equilibrium Conserving Neural Operators for Super-Resolution Learning
Vivek Oommen
Andreas E. Robertson
Daniel Diaz
Coleman Alleman
Zhen Zhang
Anthony D. Rollett
George Karniadakis
Rémi Dingreville
265
3
0
18 Apr 2025
Refining Amortized Posterior Approximations using Gradient-Based Summary
  Statistics
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics
Rafael Orozco
Ali Siahkoohi
M. Louboutin
Felix J. Herrmann
208
3
0
15 May 2023
An Introduction to Kernel and Operator Learning Methods for
  Homogenization by Self-consistent Clustering Analysis
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering AnalysisComputational Mechanics (Comput. Mech.), 2022
Owen Huang
Sourav Saha
Jiachen Guo
L. Brinson
AI4CE
158
14
0
01 Dec 2022
1