Physics-Informed Deep Neural Operator Networks
Published in Springer, 2023
Publications
You can also find my articles on my Google Scholar profile.
Books
Journal Articles
Integrating neural operators with diffusion models improves spectral representation in turbulence modeling
Published in Proceedings of the Royal Society A, 2025
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
Published in Advanced Materials, 2025
An Artificial Neural Network Method for Simulating Soliton Propagation Based on the Rosenau-KdV-RLW Equation on Unbounded Domains.
Published in Mathematics, 2025
Mitigating spectral bias in neural operators via high-frequency scaling for physical systems
Published in Arxiv, 2025
A physics-informed neural network method for thermal analysis in laser-irradiated 3D skin tissues with embedded vasculature, tumor and gold nanorods.
Published in International Journal of Heat and Mass Transfer, 2025
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Published in Neural Networks, 2023
Neural network method for solving nonlocal two-temperature nanoscale heat conduction in gold films exposed to ultrashort-pulsed lasers
Published in International Journal of Heat and Mass Transfer, 2022
A New Artificial Neural Network Method for Solving Schrödinger Equations on Unbounded Domains
Published in Communications in Computational Physics, 2022
Neural Network Method for Solving Parabolic Two-Temperature Microscale Heat Conduction in Double-Layered Thin Films Exposed to Ultrashort-Pulsed Lasers
Published in International Journal of Heat and Mass Transfer, 2021
Gradient preserved method for solving heat conduction equation with variable coefficients in double layers
Published in Applied Mathematics and Computation, 2020
Conference Papers
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
Published in ICLR 2025 Workshop, 2025
XAI4Extremes: An explainable AI framework for understanding extreme-weather precursors
Published in AI4X 2025 International Conference, 2025
Learning bias corrections for climate models using deep neural operators
Published in AAAI 2023, 2023