◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Parks

5 papers hereh-index 273.4k citations79 works total

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

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • math.NA3
  • math.AP2

identity via Semantic Scholar / OpenAlex

activity
20092021
most citednPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications

13 citations · 13 across the 3 of their papers we have counts for

collaborators
Showing 2020 · math.APShow all

1 paper · 2 filters

math.AP2020★ 13 cited

nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications

Guofei Pang, Marta D'Elia, Michael Parks +1

Physics-informed neural networks (PINNs) are effective in solving inverse problems based on differential and integral equations with sparse, noisy, unstructured, and multi-fidelity…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.