activity
20242026
most citedAccelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone

19 citations · 19 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

A GRACE Interatomic Potential for W--Ta Systems: Application to Ta Segregation and Pinning of Shear-Coupled Grain-Boundary Migration

Omar Hussein, Laurent Capolungo, Danny Perez

Tungsten-tantalum alloys are promising plasma-facing materials for fusion reactors, but simulations of their coupled defect, mechanical, and microstructural evolution require an in…

cond-mat.mtrl-sci2026

Materials Behavior as Mechanism Ensembles: A Probabilistic Framework for Emergent Behaviors

Brad L. Boyce, Mitchell A. Wood, Krishna Garikipati +16

Materials behavior is often treated as a deterministic mapping from structure to properties, yet many important phenomena emerge from the conditional activation of multiple mechani…

cs.CE2026

Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks

Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe +4

Phase-field simulations of liquid metal dealloying (LMD) can capture complex microstructural evolutions but can be prohibitively expensive for large domains and long time horizons.…

cs.CE2025

Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures

Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe +4

Phase-field models of liquid metal dealloying (LMD) can resolve rich microstructural dynamics but become intractable for large domains or long time horizons. We present a condition…

physics.comp-ph2025

A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel

Pieterjan Robbe, Andre Ruybalid, Arun Hegde +4

Mechanistic microstructure-informed constitutive models for the mechanical response of polycrystals are a cornerstone of computational materials science. However, as these models b…

cs.CE2024★ 19 cited

Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone

Christophe Bonneville, Nathan Bieberdorf, Arun Hegde +4

Prolonged contact between a corrosive liquid and metal alloys can cause progressive dealloying. For such liquid-metal dealloying (LMD) process, phase field models have been develop…