Results 41 to 50 of about 3,942,919 (384)
Quantum physics and computers [PDF]
Contemporary Physics, 1996 27 pages, LaTeX, 8 PostScript figures embedded. A bug in one of the postscript files has been fixed. Reprints available from the author.
openaire +3 more sources
Machine learning–accelerated computational fluid dynamics [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov +5 more
semanticscholar +1 more source
TVD differencing on three-dimensional unstructured meshes with monotonicity-preserving correction of mesh skewness [PDF]
, 2015 This data set contains the data accompanying the article F. Denner and B. van Wachem, TVD differencing on three-dimensional unstructured meshes with monotonicity-preserving correction of mesh skewness, Journal of Computational Physics (2015), http://dx ...
Denner, F, van Wachem, B
core +2 more sources
Dual-Antenna Microwave Ablation of Liver Tumor from the 3D-IRCADb-01 Database [PDF]
International Journal of BiomedicineMicrowave ablation (MWA) is a minimally invasive energy-based thermal ablative technique designed to destroy tumor cells using microwave energy. Each tumor indeed has unique characteristics, including size, shape, and location, which significantly ...
Nikola Bošković +2 more
doaj +1 more source
Unifying projected entangled pair state contractions
New Journal of Physics, 2014 The approximate contraction of a tensor network of projected entangled pair states (PEPS) is a fundamental ingredient of any PEPS algorithm, required for the optimization of the tensors in ground state search or time evolution, as well as for the ...
Michael Lubasch +2 more
doaj +1 more source
Journal of Physics: Conference Series, 2019 Computational thinking that is an essential skill which everyone should learn, especially in Computational Physics courses. Problems in learning Computational Physics courses in the Department of Physics was the ability of students in analyzing problems ...
A. Akmam +3 more
semanticscholar +1 more source
Developing a project-based computational physics course grounded in expert practice [PDF]
, 2016 We describe a project-based computational physics course developed using a backwards course design approach. From an initial competency-based model of problem solving in computational physics, we interviewed faculty who use these tools in their own ...
Christopher J Burke, T. Atherton
semanticscholar +1 more source
Using computational essays to scaffold professional physics practice [PDF]
European journal of physics, 2020 This article describes a curricular innovation designed to help students experience authentic physics inquiry with an emphasis on computational modeling and scientific communication.
Tor Ole B Odden, A. Malthe‐Sørenssen
semanticscholar +1 more source
“Computational Mathematics and Mathematical Physics”—Editorial I (2021–2023)
Axioms, 2023 Based on the papers published in the Special Issue of the scientific journal Axioms, here we present the Editorial Article “Computational Mathematics and Mathematical Physics”, the main topics of which include both fundamental and applied research in ...
Hovik A. Matevossian +1 more
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Reframing Jet Physics with New Computational Methods [PDF]
EPJ Web of Conferences, 2021 We reframe common tasks in jet physics in probabilistic terms, including jet reconstruction, Monte Carlo tuning, matrix element – parton shower matching for large jet multiplicity, and efficient event generation of jets in complex, signal-like regions of
Cranmer Kyle +3 more
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