Michael Penwarden

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Shape Representation

Data Mining Problems

Partial Differential Equations

Top Venues

J. Comput. Phys.

Comput. Phys. Commun.

Eng. Appl. Artif. Intell.

Publications

Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, Michael Penwarden, Nicholas Plewacki, Luis Bravo, Anindya Ghoshal, Robert M. Kirby, George Em Karniadakis
Deep neural operators as accurate surrogates for shape optimization. Eng. Appl. Artif. Intell. 129 (2024)
Michael Penwarden, Houman Owhadi, Robert M. Kirby
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics. CoRR (2024)
Michael Penwarden
Comment on "Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations" by D. Zhang, Y. Li, and S. Ying. Comput. Phys. Commun. 303 (2024)
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEs. J. Comput. Phys. 477 (2023)
Haocheng Dai, Michael Penwarden, Robert M. Kirby, Sarang C. Joshi
Neural Operator Learning for Ultrasound Tomography Inversion. CoRR (2023)
Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. ICML (2023)
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, Michael Penwarden, Luis Bravo, Anindya Ghoshal, Robert M. Kirby, George Em Karniadakis
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils. CoRR (2023)
Michael Penwarden, Ameya D. Jagtap, Shandian Zhe, George Em Karniadakis, Robert M. Kirby
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions. CoRR (2023)
Michael Penwarden, Ameya D. Jagtap, Shandian Zhe, George Em Karniadakis, Robert M. Kirby
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions. J. Comput. Phys. 493 (2023)
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
Multifidelity modeling for Physics-Informed Neural Networks (PINNs). J. Comput. Phys. 451 (2022)
Shibo Li, Michael Penwarden, Robert M. Kirby, Shandian Zhe
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. CoRR (2022)
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
Multifidelity Modeling for Physics-Informed Neural Networks (PINNs). CoRR (2021)
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
Physics-Informed Neural Networks (PINNs) for Parameterized PDEs: A Metalearning Approach. CoRR (2021)