Wenzhuo Xu

Wenzhuo Xu

PhD Candidate in Mechanical Engineering at Carnegie Mellon University

Publications

Journal Articles

  • 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, 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]

Conference & Invited Talks

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