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Physics of Multiple-Node Charge Collection and Impacts on Single-Event Characterization and Soft Error Rate Prediction

IEEE Transactions on Nuclear Science, 2013
Jeffrey D. Black, P.E. Dodd, Kevin M. Warren   +2 more
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Virtual node graph neural network for full phonon prediction

Nature Computational Science, 2023
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed remarkable progress in machine-learning methods for this connection.
Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu, T. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Bolin Liao, Yongqiang Cheng, Mingda Li Quantum Measurement Group, M. I. O. Technology, Cambridge, Ma, USA. Department of Chemistry, Usa Department of Electrical Engineering, Computer Science, Usa Department of Computer Science, Engineering, Usa Argonne National Laboratory, Lemont, Il, Chemical Biology, Harvard University, Usa Applied Physics, School of Electrical Engineering, A. Sciences, USA. Department of physics, Astronomy, U. O. N. Carolina, Columbia, S. Carolina, Usa Department of Materials, U. California, Santa Barbara, Ca, Usa Chemical Spectroscopy Group, Spectroscopy Section, Neutron Scattering Division Oak Ridge National Laboratory, Oak Ridge, Tn, USA.   +43 more
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Probabilistic Physics-Informed Graph Convolutional Network for Active Distribution System Voltage Prediction

IEEE Transactions on Power Systems, 2023
This letter proposes a novel data-driven probabilistic physics-informed graph convolutional network (GCN) for active distribution system voltage prediction with PVs and EVs.
Tong Su, Junbo Zhao, Yansong Pei, Fei Ding   +3 more
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Physically Based Node Distributions For Mesh Generation

International Journal of Modelling and Simulation, 2008
A new physically based approach to mesh generation is proposed, which uses the variants of Monte-Carlo (MC) technique. The mesh nodes are treated as interacting particles and their positions are determined using energy minimization. When the approach is extended with the grand-canonical MC scheme the optimization is performed for both the number of ...
A.V. Smirnov, H. Zhang
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Large scale multi-node simulations of ℤ2 gauge theory quantum circuits using Google Cloud Platform

2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS), 2021
Simulating quantum field theories on a quantum computer is one of the most exciting fundamental physics applications of quantum information science. Dynamical time evolution of quantum fields is a challenge that is beyond the capabilities of classical ...
Erik J. Gustafson, B. Holzman, J. Kowalkowski, Henry Lamm, A. Li, G. Perdue, S. Isakov, O. Martin, R. Thomson, J. Beall, M. Ganahl, G. Vidal, E. Peters   +12 more
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Physical design challenges beyond the 22nm node

Proceedings of the 19th international symposium on Physical design, 2010
Producing working chips in current (32nm) and forthcoming CMOS technologies feels a lot like trying to create an intricate oil painting using a broom! After all, we are using light with a wavelength of 193nm to create shapes less than a tenth of a wavelength in dimension.
Sani R. Nassif, Kevin J. Nowka
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Improving communication by optimizing on-node data movement with data layout

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 2021
We present optimizations to improve communication performance by reducing on-node data movement for a class of distributed memory applications. The primary concept is to eliminate the data movement associated with packing and unpacking subsets of the ...
Tuowen Zhao, Mary W. Hall, H. Johansen, Samuel Williams   +3 more
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Creating Physics Components and Function Nodes

Jason van Gumster, Stefan Maurus
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Ocean Bottom Nodes Ultrasonic Physical Experiment

Proceedings, 2016
The current efforts in the hydrocarbon industry have been concentrating in maximize oil and gas production from existing fields as the task of find new reservoirs becomes expansive and difficult. Hence, converted-waves are used in partnership with P-waves for a more complete understanding of reservoirs’ properties and geometrical arrangement.
E.S. Silva, R.S. Stewart, N.D. Dyaur, A.A.S. Sobrinho   +3 more
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Cliff's Nodes: Editorials from The Physics Teacher: Clifford Swartz

The Physics Teacher, 2008
John L. Hubisz
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