Wenzhuo Xu

Wenzhuo Xu

PhD Candidate in Mechanical Engineering at Carnegie Mellon University

Publications

Journal Articles

  • Wenzhuo Xu, et al., and Noelia Grande Gutiérrez. “Energy-based feature extraction with adaptive local domain decomposition for prediction of transient and turbulence flow with operator regression models.” Computers & Fluids, 2026.

  • Chen, Jiangce, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb. “Enforcing the Principle of Locality for Physical Simulations with Neural Operators.” Journal of Computational Physics, Volume 538, 2025. [Elsevier]

  • Wenzhuo Xu, Christopher McComb, and Noelia Grande Gutierrez. “Taylor Series Error Correction Network for Super-Resolution of Discretized Partial Differential Equation Solutions.” Journal of Computational Physics, Volume 521, 2025. [Elsevier]

  • Chen, Jiangce, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van den Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb. “Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators.” Journal of Manufacturing Science and Engineering 146.9 (2024). [ASME]

Conference Papers

  • Wenzhuo Xu, Akibi Archer, Mike McCarrell, Scott Hesser, Noelia Grande Gutiérrez, and Christopher McComb. “Fast Super-Resolution Analysis of Low-Pressure Duct Air Flow through Adaptive Domain Decomposition.” IDETC/CIE2025 (2025).

  • Wenzhuo Xu, Noelia Grande Gutierrez, and Christopher McComb. “MegaFlow2D: A Parametric Dataset for Machine Learning Super-resolution in Computational Fluid Dynamics Simulations.” In Proceedings of Cyber-Physical Systems and Internet of Things Week 2023 (CPS-IoT Week ‘23). [ACM]

  • Chen, Jiangce, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van den Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, and Christopher McComb. “Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators.” IDETC-CIE 2023 (2023). [arXiv]

Preprints

  • Wenzhuo Xu, et al., and Christopher McComb. “Scalable super-resolution of flow conveyance systems through adaptive domain decomposition.” Under Review at Journal of Manufacturing Science and Engineering, 2025.

Conference & Invited Talks

  • “Graph-Based Domain Decomposition for Scalable Cardiovascular Flow Super-Resolution”, APS-DFD 2025, Houston, TX, Nov 2025.

  • “Adaptive Local Domain Decomposition for Learning Large-Scale Multi-physics Numerical Simulations”, APS-DFD 2024, Salt Lake City, UT, Nov 2024.

  • “Taylor series error correction network for super-resolution of discretized fluid solutions”, APS-DFD 2023, Washington DC, Nov 2023.

  • “Machine Learning for Large-Scale Multi-physics Engineering Simulations”, Invited talk at CMU Mechanical Engineering Ph.D. Research Symposium, Mar 2025.

  • “Machine Learning in Large-Scale Engineering Simulations”, Invited talk at Autodesk Research, Nov 2024.