Qizhi He
Scholar

Qizhi He

Google Scholar ID: lZ4PEUAAAAAJ
Computing, Intelligence & Mechanics, University of Minnesota - Twin Cities
Computational mechanicsDifferentiable meshfreeScientific MLMaterial failureMultiphysics
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Citations & Impact
All-time
Citations
1,315
 
H-index
19
 
i10-index
24
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published paper 'Robust data-driven constitutive modeling' (Guo et al.) online in CMAME; another collaborative paper 'Integrating Physics-Informed and Data-Driven Neural Networks into Earth System Models: A Comparative Study for Compound Flood Simulation at River-Ocean Interfaces' accepted by Journal of Geophysical Research: Machine Learning and Computation.
Research Experience
  • 1) Investigate multiphysics phenomena and damage mechanisms in heterogeneous porous media and composite materials.
  • 2) Develop next-generation computational methods and algorithms.
  • 3) Advance the knowledge of scientific machine learning and reduced-order modeling.
Background
  • Focused on leveraging Computational Mechanics, Scientific Computing, and Artificial Intelligence to address resilience and sustainability challenges related to materials, civil structures, and geosystems under extreme conditions.
Miscellany
  • Looking for talented, enthusiastic students (both undergraduate and graduate) interested in interdisciplinary challenges and computer modeling to join the research group.
Co-authors
0 total
Co-authors: 0 (list not available)