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von Farrell, Steven L. ; Osinski, Noah ; Paredes, Ingrid J. ; et al.
ACS Applied Materials & Interfaces. 18(14):20838-20847
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Schlagworte: Biomolecules; Artificial Intelligence
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von Dai, Biwei ; Chang, Po-Wen ; Bhimji, Wahid ; et al.
Schlagworte: Cosmology and Nongalactic Astrophysics; Artificial Intelligence; Computer Vision and Pattern Recognition; Data Analysis, Statistics and Probability
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von Morehead, Alex ; Cretu, Miruna ; Panescu, Antonia ; et al.
Schlagworte: Machine Learning; Materials Science; Artificial Intelligence
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von Chakkappai, Ragansu ; Bhimji, Wahid ; Calafiura, Paolo ; et al.
Schlagworte: High Energy Physics - Phenomenology; High Energy Physics - Experiment
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von Zhu, Zhu ; Sun, Yu ; Parakal, Dhatri ; et al.
Schlagworte: Distributed, Parallel, and Cluster Computing
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von Subramanian, Shashank ; Rrapaj, Ermal ; Harrington, Peter ; et al.
SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis SC-W High Performance Computing, Networking, Storage and Analysis, SC24-W: Workshops of the International Conference for. :1380-1397 Nov, 2024
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von Ding, Nan ; Austin, Brian ; Liu, Yang ; et al.
SC24: International Conference for High Performance Computing, Networking, Storage and Analysis SC High Performance Computing, Networking, Storage and Analysis, SC24: International Conference for. :1-15 Nov, 2024
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von Tang, Yingheng ; Xu, Wenbin ; Cao, Jie ; et al.
Nature Machine Intelligence. 8(4):588-601
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von Farrell, Steven L. ; Khwaja, Mersal ; Paredes, Ingrid J. ; et al.
The Journal of Physical Chemistry C. 128(11):4470-4482
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von Benato, Lisa ; Bhimji, Wahid ; Calafiura, Paolo ; et al.
Schlagworte: High Energy Physics - Phenomenology; Machine Learning; High Energy Physics - Experiment; Data Analysis, Statistics and Probability
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von Zhao, Haoran ; Naylor, Andrew ; Hsu, Shih-Chieh ; et al.
Schlagworte: Physics - Computational Physics; High Energy Physics - Experiment; Physics - Data Analysis, Statistics and Probability
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von Farrell, Steven ; Emani, Murali ; Balma, Jacob ; et al.
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) MLHPC Machine Learning in High Performance Computing Environments (MLHPC), 2021 IEEE/ACM Workshop on. :33-45 Nov, 2021
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von Li, Chunhui ; Gilbert, Benjamin ; Farrell, Steven ; et al.
Journal of Chemical Information and Modeling. 63(12):3742-3750
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von Ibrahim, Khaled Z. ; Nguyen, Tan ; Nam, Hai Ah ; et al.
2021 International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) PMBS Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), 2021 International Workshop on. :7-17 Nov, 2021
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von Agarwal, Manan ; Alameda, Jay ; Audenaert, Jeroen ; et al.
Schlagworte: High Energy Physics - Experiment; Astrophysics - High Energy Astrophysical Phenomena; General Relativity and Quantum Cosmology
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von Wang, Yunsong ; Yang, Charlene ; Farrell, Steven ; et al.
2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS) DLS Supercomputers (DLS), 2020 IEEE/ACM Fourth Workshop on. :10-19 Nov, 2020
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von Morehead, Alex ; Cretu, Miruna ; Panescu, Antonia ; et al.
Schlagworte: Machine Learning; Materials Science; Artificial Intelligence
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von Liu, Ryan ; Calafiura, Paolo ; Farrell, Steven ; et al.
Schlagworte: High Energy Physics - Experiment; Computer Science - Machine Learning
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von Mukherjee, Deboshree ; Swain, Supriya ; Farrell, Steven L. ; et al.
In Applied Catalysis O: Open December 2025 209
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von Ju, xiangyang ; Wang, Yunsong ; Murnane, Daniel ; et al.
Schlagworte: Computer Science - Machine Learning
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von Wang, Chun-Yi ; Ju, Xiangyang ; Hsu, Shih-Chieh ; et al.
Schlagworte: Physics - Instrumentation and Detectors; High Energy Physics - Experiment; High Energy Physics - Phenomenology; Physics - Data Analysis, Statistics and Probability
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von Lazar, Alina ; Ju, Xiangyang ; Murnane, Daniel ; et al.
Schlagworte: Physics - Instrumentation and Detectors; High Energy Physics - Experiment; Physics - Computational Physics
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von Amrouche, Sabrina ; Basara, Laurent ; Calafiura, Paolo ; et al.
Comput.Softw.Big Sci. 7 (2023) 1, 1
Schlagworte: Machine Learning; High Energy Physics - Experiment
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