Publications

Journal Articles

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]

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]

“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.