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P. Jha

6 papers hereh-index 588 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • math.NA3
  • cond-mat.mes-hall2
  • cs.CE1
same name
  • P. Jha — 25 papers, h 9
  • P. Jha — 24 papers, h 25
  • P. Jha — 21 papers, h 45
  • P. Jha — 18 papers, h 32
  • P. Jha — 5 papers, h 17
  • P. Jha — 5 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing math.NAShow all

3 papers · 1 filter

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…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.