Luc Peterson

Researcher, Lawrence Livermore National Labs

Joined

June 2022

Names

Luc Peterson (Preferred)

Emails

****@llnl.gov (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Lawrence Livermore National Labs (llnl.gov)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

A multifidelity Bayesian optimization method for inertial confinement fusion design
Jingyi Wang, Nai Yuan Chiang, Andrew Gillette, J. Luc Peterson
- CoRR 2023
- Readers: Everyone
Transfer learning driven design optimization for inertial confinement fusion
Kelli D. Humbird, Jayson Luc Peterson
- CoRR 2022
- Readers: Everyone
Enabling machine learning-ready HPC ensembles with Merlin
J. Luc Peterson, Benjamin Bay, Joe Koning, Peter B. Robinson, Jessica Semler, Jeremy White, Rushil Anirudh, Kevin Athey, Peer-Timo Bremer, Francesco Di Natale, David Fox, Jim A. Gaffney, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski, Steve H. Langer, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom
- Future Gener. Comput. Syst. 2022
- Readers: Everyone
A Community Roadmap for Scientific Workflows Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser et al. (9 additional authors not shown)
- WORKS 2021
- Readers: Everyone
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso et al. (25 additional authors not shown)
- CoRR 2021
- Readers: Everyone
The data-driven future of high-energy-density physics
Peter W. Hatfield, Jim A. Gaffney, Gemma J. Anderson, Suzanne Ali, Luca Antonelli, Suzan Basegmez du Pree, Jonathan Citrin, Marta Fajardo, Patrick F. Knapp, Brendan Kettle, Bogdan Kustowski, Michael J. MacDonald, Derek Mariscal, Madison E. Martin, Taisuke Nagayama, Charlotte A. J. Palmer, J. Luc Peterson, Steven J. Rose, J. J. Ruby, Carl Shneider et al. (3 additional authors not shown)
- Nat. 2021
- Readers: Everyone
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data
Kelli D. Humbird, J. Luc Peterson, J. Salmonson, Brian K. Spears
- CoRR 2021
- Readers: Everyone
Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom
- IEEE Trans. Vis. Comput. Graph. 2020
- Readers: Everyone
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
Sam Ade Jacobs, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears
- CoRR 2019
- Readers: Everyone

View all 21 publications

Co-Authors

View all 113 co-authors