Accelerator Physics · Physics
Novel Materials and Concepts for Next-Generation High Power Target Applications
Kavin Ammigan, Sujit Bidhar, Frederique Pellemoine, Vitaly Pronskikh +35
2022-03-18
Materials Science · Physics
Multiscale modeling of materials: Computing, data science,uncertainty and goal-oriented optimization
Nikola Kovachki, Burigede Liu, Xingsheng Sun, Hao Zhou +3
2021-04-14
Accelerator Physics · Physics
Irradiation Facilities and Irradiation Methods for High Power Target
F. Pellemoine, C. Barbier, Y. Sun, K. Ammigan +37
2022-12-15
Accelerator Physics · Physics
HEP High Power Targetry Roadmap -- Workshop Report
F. Pellemoine, K. Ammigan, C. Barbier, S. Bidhar +13
2025-02-06
Machine Learning · Computer Science
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
Michela Moschella, Mauro Tucci, Emanuele Crisostomi, Alessandro Betti
2020-07-17
Instrumentation and Detectors · Physics
Targets for Precision Measurements
W. Loveland, L. Yao, David M. Asner, R. G. Baker +30
2013-03-12
Materials Science · Physics
Machine learning in nuclear materials research
Dane Morgan, Ghanshyam Pilania, Adrien Couet, Blas P. Uberuaga +2
2022-11-18
Materials Science · Physics
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao, Yanwei Lum, Andrew Johnston, Luis Martin Mejia-Mendoza +5
2022-10-20
Accelerator Physics · Physics
Novel materials for next-generation accelerator target facilities
K. Ammigan, G. Arora, S. Bidhar, A. Burleigh +4
2024-05-30
Materials Science · Physics
Representations of Materials for Machine Learning
James Damewood, Jessica Karaguesian, Jaclyn R. Lunger, Aik Rui Tan +3
2023-01-24
Distributed, Parallel, and Cluster Computing · Computer Science
Cross-layer Application-aware Power/Energy Management for Extreme Scale Science
Ivan Rodero, Manish Parashar
2013-04-11
Applications · Statistics
Coupling material and mechanical design processes via computer model calibration
Carl Ehrett, D. Andrew Brown, Evan Chodora, Christopher Kitchens +1
2020-01-14
Computer Vision and Pattern Recognition · Computer Science
Higher-order Projected Power Iterations for Scalable Multi-Matching
Florian Bernard, Johan Thunberg, Paul Swoboda, Christian Theobalt
2019-03-15
Materials Science · Physics
Generative Models for Crystalline Materials
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi +12
2026-03-03
Materials Science · Physics
Machine Learning in Materials Modeling -- Fundamentals and the Opportunities in 2D Materials
Shreeja Das, Hansraj Pegu, Kisor Sahu, Ameeya Kumar Nayak +3
2020-01-15
Signal Processing · Electrical Eng. & Systems
Differentiable Point Scattering Models for Efficient Radar Target Characterization
Zachary Chance, Adam Kern, Arianna Burch, Justin Goodwin
2022-06-07
High Energy Physics - Experiment · Physics
Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments
Sunanda Banerjee, D. N. Brown, David N. Brown, Paolo Calafiura +30
2022-04-22
Accelerator Physics · Physics
Innovations in High- and Ultra-precision Machining
Eckart Uhlmann, Mitchel Polte, Toni Hocke, Julius Tschöpel
2026-01-21
Computers and Society · Computer Science
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer +5
2018-10-18
Networking and Internet Architecture · Computer Science
Performance Modeling of Next-Generation Wireless Networks
Antonios Michaloliakos, Ryan Rogalin, Yonglong Zhang, Konstantinos Psounis +1
2014-05-02