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Graph-informed Neural Networks for Multiscale Physics
Bayesian and Topological Methods for Data Analysis
Low-bit Representations of Oversampled Signal Expansions and Neural Networks
Peridynamics: A Framework for Fracture, Multiscale, and Complex Materials Modeling
Scalable Algorithms for the Material Point Method
Simulation Cloning and its Applications
Sub-Micron Fracture Mechanism in Silicate Glasses Activated by Permanent Densification from High-Strain Loading
The Ethical Algorithm
An Investigation Using Homology and Inverted Distances
A Grand Potential Sintering Model: Derivation and Application to UO2 Thermal Sintering, Doped Sintering, and Irradiation-Enhanced Densification
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