activity
20202023
most citedA machine-learning framework for peridynamic material models with physical constraints

49 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2023

Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures

Huaiqian You, Xiao Xu, Yue Yu +3

Molecular dynamics (MD) has served as a powerful tool for designing materials with reduced reliance on laboratory testing. However, the use of MD directly to treat the deformation…

math.NA2022★ 2 cited

Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves

Xiao Xu, Marta D'Elia, Christian Glusa +1

Anomalous behavior is ubiquitous in subsurface solute transport due to the presence of high degrees of heterogeneity at different scales in the media. Although fractional models ha…

math.NA2021★ 15 cited

A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems

Xiao Xu, Christian Glusa, Marta D'Elia +1

We propose a domain decomposition method for the efficient simulation of nonlocal problems. Our approach is based on a multi-domain formulation of a nonlocal diffusion problem wher…

math.NA2021★ 49 cited

A machine-learning framework for peridynamic material models with physical constraints

Xiao Xu, Marta D'Elia, John T. Foster

As a nonlocal extension of continuum mechanics, peridynamics has been widely and effectively applied in different fields where discontinuities in the field variables arise from an…

cs.CE2020★ 5 cited

Deriving peridynamic influence functions for one-dimensional elastic materials with periodic microstructure

Xiao Xu, John T. Foster

The influence function in peridynamic material models has a large effect on the dynamic behavior of elastic waves and in turn can greatly effect dynamic simulations of fracture pro…