activity
20172026
most citedResidual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems

33 citations · 60 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mes-hall2026

Continuum Limit of Nonlocal Electrostatics in Random Media

Prashant K. Jha, Kaushik Dayal

We derive a two-scale continuum limit for the electrostatic energy of random charge density fields that are stationary and ergodic under lattice translations. Each microscopic cell…

cs.CE2026

Model-Informed Joint Material-Structural Optimization of Hard-Magnetic Soft Materials

Ian Galloway, Prashant K. Jha

This work develops a model-informed framework for predictive analysis and optimal design of hard-magnetic soft materials (hMSMs). These materials undergo contact-free, field-driven…

math.NA2024★ 3 cited

Nodal finite element approximation of peridynamics

Prashant K. Jha, Patrick Diehl, Robert Lipton

This work considers the nodal finite element approximation of peridynamics, in which the nodal displacements satisfy the peridynamics equation at each mesh node. For the nonlinear…

cond-mat.mes-hall2023★ 7 cited

Discrete-to-Continuum Limits of Long-Range Electrical Interactions in Nanostructures

Prashant K. Jha, Timothy Breitzman, Kaushik Dayal

We consider electrostatic interactions in two classes of nanostructures embedded in a three dimensional space: (1) helical nanotubes, and (2) thin films with uniform bending (i.e.,…

math.NA2022★ 33 cited

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems

Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha +2

We explore using neural operators, or neural network representations of nonlinear maps between function spaces, to accelerate infinite-dimensional Bayesian inverse problems (BIPs)…

math.NA2017★ 17 cited

Numerical convergence of nonlinear nonlocal continuum models to local elastodynamics

Prashant K. Jha, Robert Lipton

We quantify the numerical error and modeling error associated with replacing a nonlinear nonlocal bond-based peridynamic model with a local elasticity model or a linearized peridyn…