◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Paszyński

10 papers hereh-index 262.6k citations238 works total

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author6

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • math.NA9
  • cs.CE1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedIsogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Advection-Diffusion Problems

19 citations · 22 across the 5 of their papers we have counts for

collaborators
Showing 2023 · math.NAShow all

2 papers · 2 filters

math.NA2023

Robust Variational Physics-Informed Neural Networks

Sergio Rojas, Paweł Maczuga, Judit Muñoz-Matute +2

We introduce a Robust version of the Variational Physics-Informed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a Petrov-Galer…

math.NA2023★ 1 cited

Physics Informed Neural Networks with strong and weak residuals for advection-dominated diffusion problems

Maciej Sikora, Patryk Krukowski, Anna Paszynska +1

This paper deals with the following important research questions. Is it possible to solve challenging advection-dominated diffusion problems in one and two dimensions using Physics…

◍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.