Results 31 to 40 of about 8,287,486 (375)
Falkner–Skan Flow with Stream-Wise Pressure Gradient and Transfer of Mass over a Dynamic Wall
Entropy, 2021 In this work, an important model in fluid dynamics is analyzed by a new hybrid neurocomputing algorithm. We have considered the Falkner–Skan (FS) with the stream-wise pressure gradient transfer of mass over a dynamic wall. To analyze the boundary flow of
Muhammad Fawad Khan +3 more
doaj +1 more source
Scalable computational science [PDF]
, 2013 2015 - 2016Computational science also know as scientific computing is a rapidly growing novel field that uses advanced computing in order to solve complex problems.
Spagnuolo, Carmine
core +3 more sources
Perspective on integrating machine learning into computational chemistry and materials science. [PDF]
Journal of Chemical Physics, 2021 Machine learning (ML) methods are being used in almost every conceivable area of electronic structure theory and molecular simulation. In particular, ML has become firmly established in the construction of high-dimensional interatomic potentials.
Julia Westermayr +3 more
semanticscholar +1 more source
Frontiers in Physiology, 2018 Sports and exercise today are popular for both amateurs and athletes. However, we continue to seek the best ways to analyze best athlete performances and develop specific tools that may help scientists and people in general to analyze athletic ...
Vanessa H. Pereira +7 more
doaj +1 more source
Quantum computational advantage using photons [PDF]
Science, 2020 A light approach to quantum advantage Quantum computational advantage or supremacy is a long-anticipated milestone toward practical quantum computers. Recent work claimed to have reached this point, but subsequent work managed to speed up the classical ...
Han-Sen Zhong +23 more
semanticscholar +1 more source
A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer
Journal of Astronomy and Space Sciences, 2021 The universe is well known to be consists of dark energy, dark matter and the standard model (SM) particles. The dark matter dominates the density of matter in the universe.
Kihong Park, Kihyeon Cho
doaj +1 more source
Multiscale modeling, coarse-graining and shock wave computer simulationsin materials science
AIMS Materials Science, 2017 My intention in this review article is to briefly discuss several major topics of presentdaycomputational materials science in order to show their importance for state-of-the-art materialsmodeling and computer simulation.
Martin O. Steinhauser
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Reproducibility in Research: Systems, Infrastructure, Culture
Journal of Open Research Software, 2017 The reproduction and replication of research results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the challenges closely revolve around the ability to ...
Tom Crick +2 more
doaj +1 more source
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
The natural science of computing [PDF]
Communications of the ACM, 2017 As unconventional computing comes of age, we believe a revolution is needed in our view of computer science.
Horsman, Dominic +2 more
openaire +4 more sources