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On the Prevalence and Nature of Computational Instruction in Undergraduate Physics Programs across the United States [PDF]
, 2018 A national survey of physics faculty was conducted to investigate the prevalence and nature of computational instruction in physics courses across the United States. 1246 faculty from 357 unique institutions responded to the survey.
Caballero, Marcos D., Merner, Laura
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Inverse Modeling for Artifact Removal in Photonic Data: A Computational Physics and Transfer Learning-Based Approach. [PDF]
J Chem Inf ModelVulchi RT +4 more
europepmc +2 more sources
Applied Sciences, 2022 Prevention of type-1 human immunodeficiency virus (HIV) infections has primarily been through condom usage, abstinence, and behavioral and risk awareness programs.
Jeramy Lewis, Robert E. Camley
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iScience, 2023 Summary: With pre-trained large models and their associated fine-tuning paradigms being constantly applied in deep learning, the performance of large models achieves a dramatic boost, mostly owing to the improvements on both data quantity and quality ...
Xinyu Pan +9 more
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Jurnal Neutrino: Jurnal Fisika dan Aplikasinya, 2021 Neutrino can carry information from places that cannot be reached by the usual detection mechanism because it has a very weak interaction with matter. This can be utilized to study the heat flow process inside the earth by using information carried by ...
Akmal Ferdiyan +1 more
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Transverse confinement of electron beams in a 2D optical lattice for compact coherent x-ray sources
New Journal of Physics, 2021 Compact coherent x-ray sources have been the focus of extensive research efforts over the past decades. As a result, several novel schemes like optical and nano-undulators for generating x-ray emissions in ‘table-top’ setups are proposed, developed, and ...
Arya Fallahi +2 more
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Equivariant neural networks for spin dynamics simulations of itinerant magnets
Machine Learning: Science and Technology, 2023 I present a novel equivariant neural network architecture for the large-scale spin dynamics simulation of the Kondo lattice model. This neural network mainly consists of tensor-product-based convolution layers and ensures two equivariances: translations ...
Yu Miyazaki
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XXVI IUPAP Conference on Computational Physics (CCP2014) [PDF]
, 2015 The 26th IUPAP Conference on Computational Physics, CCP2014, was held in Boston, Massachusetts, during August 11-14, 2014. Almost 400 participants from 38 countries convened at the George Sherman Union at Boston University for four days of plenary and ...
Campbell, D.K. +3 more
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Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach
Frontiers in Physics, 2023 We present global predictions of the ground state mass of atomic nuclei based on a novel Machine Learning algorithm. We combine precision nuclear experimental measurements together with theoretical predictions of unmeasured nuclei.
Matthew Mumpower +6 more
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Matter and Radiation at Extremes, 2021 We report significant differences in high-pressure properties of vanadium at zero temperature and finite temperature when different projector augmented wave (PAW) potentials are used in simulations based on density functional theory. When a PAW potential
Tingting Zhang +8 more
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