SOLWEIG-GPU: GPU-Accelerated Thermal Comfort Modeling Framework for Urban Digital Twins

SOLWEIG-GPU: GPU-Accelerated Thermal Comfort Modeling Framework for Urban Digital Twins - Published in JOSS (2026)

https://github.com/nvnsudharsan/solweig-gpu

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 4 months ago · JSON representation

JOSS Publication

SOLWEIG-GPU: GPU-Accelerated Thermal Comfort Modeling Framework for Urban Digital Twins
Published
February 13, 2026
Volume 11, Issue 118, Page 9535
Authors
Harsh G. Kamath ORCID
Jackson School of Geosciences, The University of Texas at Austin, USA
Naveen Sudharsan ORCID
Jackson School of Geosciences, The University of Texas at Austin, USA
Manmeet Singh ORCID
Jackson School of Geosciences, The University of Texas at Austin, USA
Nils Wallenberg ORCID
Department of Earth Sciences, University of Gothenburg, Sweden
Fredrik Lindberg ORCID
Department of Earth Sciences, University of Gothenburg, Sweden
Dev Niyogi ORCID
Jackson School of Geosciences, The University of Texas at Austin, USA, Cockrell School of Engineering, The University of Texas at Austin, USA
Editor
Adithi R Upadhya ORCID
Tags
Thermal Comfort Heat Stress GPU Urban

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 0
  • Total pull requests: 32
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.09
  • Merged pull requests: 25
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 32
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.09
  • Merged pull requests: 25
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • nvnsudharsan (27)
  • HarshKamath (3)
  • matthiasdemuzere (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 360 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 19
  • Total maintainers: 2
pypi.org: solweig-gpu

GPU-accelerated SOLWEIG model for urban thermal comfort simulation

  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 360 Last month
Rankings
Dependent packages count: 9.3%
Average: 30.8%
Dependent repos count: 52.3%
Maintainers (2)
Last synced: 5 months ago