Michael Penwarden

Researcher, Sandia National Laboratories

Joined

September 2022

Names

Michael Penwarden (Preferred)

Emails

****@gmail.com (Confirmed)

****@umail.utah.edu (Confirmed)

****@sci.utah.edu (Confirmed)

****@sandia.gov (Confirmed)

Personal Links

Career & Education History

Researcher

Sandia National Laboratories (sandia.gov)

2024 – Present

PhD student

School of Computing, University of Utah (utah.edu)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Robert M. Kirby

2020 – 2024

Expertise

Physics Informed Machine Learning

Present

SciML

Present

Neural Operators

Present

Publications

Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics
Michael Penwarden, Houman Owhadi, Robert M. Kirby
- CoRR 2024
- Readers: Everyone
Deep neural operators as accurate surrogates for shape optimization
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, Michael Penwarden, Nicholas Plewacki, Luis Bravo, Anindya Ghoshal, Robert M. Kirby, George Em Karniadakis
- Eng. Appl. Artif. Intell. 2024
- Readers: Everyone
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions
Michael Penwarden, Ameya D. Jagtap, Shandian Zhe, George Em Karniadakis, Robert M. Kirby
- J. Comput. Phys. 2023
- Readers: Everyone
Neural Operator Learning for Ultrasound Tomography Inversion
Haocheng Dai, Michael Penwarden, Robert Kirby, Sarang Joshi
- Published: 28 Apr 2023, Last Modified: 15 Feb 2026
- MIDL 2023 Short paper track Poster
- Readers: Everyone
A metalearning approach for Physics-Informed Neural Networks (PINNs): Application to parameterized PDEs
Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M. Kirby
- J. Comput. Phys. 2023
- Readers: Everyone
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Robert Kirby, Shandian Zhe
- ICML 2023 Poster
- Readers: Everyone
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils
Khemraj Shukla, Vivek Oommen, Ahmad Peyvan, Michael Penwarden, Luis Bravo, Anindya Ghoshal, Robert M. Kirby, George Em Karniadakis
- CoRR 2023
- Readers: Everyone
Neural Operator Learning for Ultrasound Tomography Inversion
Haocheng Dai, Michael Penwarden, Robert M. Kirby, Sarang C. Joshi
- Published: 01 Jan 2023, Last Modified: 01 Feb 2024
- CoRR 2023
- Readers: Everyone
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe
- Published: 01 Jan 2023, Last Modified: 21 Feb 2024
- ICML 2023
- Readers: Everyone

View all 14 publications

Michael Penwarden

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors