Scholar
Jian-Xun Wang
Google Scholar ID: 1cXHUD4AAAAJ
Associate Professor, Cornell University
Scientific Machine Learning
AI for Science
CFD
Data Assimilation
Computational Physics
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Citations & Impact
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Citations
6,392
H-index
32
i10-index
54
Publications
20
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0
Contact
Email
jw2837@cornell.edu
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Publications
10 items
DiFVM: A Vectorized Graph-Based Finite Volume Solver for Differentiable CFD on Unstructured Meshes
2026
Cited
0
D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching
2026
Cited
0
Conditional neural field for spatial dimension reduction of turbulence data: a comparison study
2025
Cited
0
Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
2025
Cited
0
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation
2025
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0
Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model
2025
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0
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
2025
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0
Implicit Neural Differential Model for Spatiotemporal Dynamics
2025
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Resume (English only)
Background
Associate Professor at the Sibley School of Mechanical and Aerospace Engineering, Cornell University
Principal Investigator of the Computational Mechanics & Scientific AI Lab (CoMSAIL)
Research focuses on integrating computational mechanics with scientific artificial intelligence
Research interests include AI4Science, scientific machine learning, data assimilation, uncertainty quantification, Bayesian inference, and computational physics (e.g., turbulence, biomechanics, fluid-structure interaction, heat transfer, manufacturing)
Develops innovative methodologies such as differentiable programming, hybrid AI-physics modeling, generative modeling, and Bayesian learning
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Co-authors: 0 (list not available)
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