ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2508.06981
  4. Cited By
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

9 August 2025
Brooks Kinch
Benjamin Shaffer
Elizabeth Armstrong
Michael Meehan
John Hewson
Nathaniel Trask
    AI4CE
ArXiv (abs)PDFHTMLGithub

Papers citing "Structure-Preserving Digital Twins via Conditional Neural Whitney Forms"

2 / 2 papers shown
Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
Benjamin D. Shaffer
Victoria Edwards
Brooks Kinch
Nathaniel Trask
M. A. Hsieh
108
0
0
17 Sep 2025
Physics-informed sensor coverage through structure preserving machine learning
Physics-informed sensor coverage through structure preserving machine learning
Benjamin D. Shaffer
Brooks Kinch
Joseph Klobusicky
M. Ani Hsieh
Nathaniel Trask
AI4CE
127
1
0
12 Sep 2025
1