abdelrahman elabd
Department of Physics and Astronomy, University of Pennsylvania
United States
- Frontiers in Artificial Intelligence
- Big Data and AI in High Energy Physics
- Research Topics
- Efficient AI in Particle Physics and Astrophysics
Efficient AI in Particle Physics and Astrophysics
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78 Authors
allison mccarn deiana
Department of Physics, Southern Methodist University
United States
babar khan
Department of Computer Science, Technical University Darmstadt
Germany
benjamin hawks
Fermi National Accelerator Laboratory
United States
bo-cheng lai
Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University
Taiwan
dmitri strukov
Department of Electrical and Computer Engineering, University of California, Santa Barbara
United States
e. a. huerta
Data Science and Learning Division, Argonne National Laboratory
United States
elena cuoco
European Gravitational Observatory
Italy
gage dezoort
Department of Physics, Princeton University
United States
georgia karagiorgi
Columbia University
United States
hang yu
TAPIR, Walter Burke Institute for Theoretical Physics, MC 350-17, California Institute of Technology
United States
huihuo zheng
Leadership Computing Facility, Argonne National Laboratory
United States
...
Published in
Frontiers in Artificial Intelligence
- Big Data and AI in High Energy Physics
Participating Journals
Frontiers in Big Data
- 2.4 impact factor
- 5.2 citescore
Impact
- 50kTopic views
- 39kArticle views
- 8,049Article downloads