Results 11 to 20 of about 8,980,708 (398)
AiiDA: Automated Interactive Infrastructure and Database for Computational Science [PDF]
arXiv.org, 2015 Computational science has seen in the last decades a spectacular rise in the scope, breadth, and depth of its efforts. Notwithstanding this prevalence and impact, it is often still performed using the renaissance model of individual artisans gathered in ...
G. Pizzi +4 more
semanticscholar +3 more sources
Steering in computational science: Mesoscale modelling and simulation [PDF]
, 2003 This paper outlines the benefits of computational steering for high performance computing applications. Lattice-Boltzmann mesoscale fluid simulations of binary and ternary amphiphilic fluids in two and three dimensions are used to illustrate the ...
Jonathan Chin +5 more
openalex +3 more sources
Computational Molecular Science for the Nutritional Industry
CHIMIA, 2005 The implementation of quantitative models of real phenomena that are evolved on computational devices has become a common practice in science and engineering in the last 50 years.
Martin G. Grigorov
doaj +3 more sources
What Do We (Not) Know About Research Software Engineering?
Journal of Open Research Software, 2022 As recognition of the vital importance of software for contemporary research is increasing, Research Software Engineering (RSE) is emerging as a discipline in its own right.
Anna-Lena Lamprecht +15 more
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Philosophical Transactions of the Royal Society A, 2021 Author for correspondence: Peter V. Coveney e-mail: p.v.coveney@ucl.ac.uk Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico Peter V.
P. Coveney, D. Groen, A. Hoekstra
semanticscholar +1 more source
Increasing resolution in stress neurobiology: from single cells to complex group behaviors
Stress, 2023 Stress can have severe psychological and physiological consequences. Thus, inappropriate regulation of the stress response is linked to the etiology of mood and anxiety disorders.
Lucas Miranda +3 more
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Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration
Frontiers in Bioinformatics, 2022 With an increase in subject knowledge expertise required to solve specific biological questions, experts from different fields need to collaborate to address increasingly complex issues. To successfully collaborate, everyone involved in the collaboration
Anjalie Schlaeppi +10 more
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Machine-Learning Methods for Computational Science and Engineering
De Computis, 2020 The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing.
M. Frank, D. Drikakis, V. Charissis
semanticscholar +1 more source
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering [PDF]
Works, 2019 Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of data, scientists' expertise, tools, and workflows.
Renan Souza +12 more
semanticscholar +1 more source
Computational Science-based Research on Dark Matter at KISTI [PDF]
Journal of Astronomy and Space Sciences, 2017 The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space.
Kihyeon Cho
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