Nonlocal models allow for the description of phenomena which cannot be
c...
Physics-based deep learning frameworks have shown to be effective in
acc...
Molecular dynamics (MD) has served as a powerful tool for designing mate...
We explore the probabilistic partition of unity network (PPOU-Net) model...
We introduce a mathematically rigorous formulation for a nonlocal interf...
Casting nonlocal problems in variational form and discretizing them with...
Anomalous behavior is ubiquitous in subsurface solute transport due to t...
Neural operators have recently become popular tools for designing soluti...
Modeling of phenomena such as anomalous transport via fractional-order
d...
We develop and analyze an optimization-based method for the coupling of ...
We introduce a technique to automatically convert local boundary conditi...
We propose a domain decomposition method for the efficient simulation of...
Fractional equations have become the model of choice in several applicat...
In this paper we design efficient quadrature rules for finite element
di...
We analyze the well-posedness of an anisotropic, nonlocal diffusion equa...
As a nonlocal extension of continuum mechanics, peridynamics has been wi...
We show that machine learning can improve the accuracy of simulations of...
Nonlocal operators of fractional type are a popular modeling choice for
...
A rigorous mathematical framework is provided for a substructuring-based...
The implementation of finite element methods (FEMs) for nonlocal models ...
A key challenge to nonlocal models is the analytical complexity of deriv...
Physics-informed neural networks (PINNs) are effective in solving invers...
Partial differential equations (PDEs) are used, with huge success, to mo...
Nonlocal models provide accurate representations of physical phenomena
r...
We develop a thermodynamically consistent, fractional visco-elasto-plast...
We present an optimization-based coupling method for local and nonlocal
...