Scholar
Jan Fuhg
Google Scholar ID: l2mDGNcAAAAJ
The University of Texas at Austin
Citations & Impact
Citations
1,550
H-index
17
i10-index
25
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published preprints on modeling thermoelasticity materials, physics-informed data-driven constitutive modeling for viscoelastic materials, and introduced the Deep Convolutional Ritz Method (DCRM) as a parametric PDE solver.
Research Experience
- Serves as an Assistant Professor at The University of Texas at Austin, with research interests in physics-informed machine learning, computational mechanics, and computational statistics.
Education
- Ph.D. in Mechanical Engineering from Cornell University; M.Sc. and B.Sc. in Computational Engineering from Leibniz University Hannover, Germany.
Background
- Assistant Professor at The University of Texas at Austin, Department of Aerospace Engineering & Engineering Mechanics. His work focuses on the intersection between computational physics and machine learning.
Miscellany
- Personal interests and other information not provided.
