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Machine-learning methods for computational science and engineering
Michael Frank
,
Dimitris Drikakis
, Vassilis Charissis
University of Strathclyde
Defence and Security Research Institute
Glasgow Caledonian University
Research output
:
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›
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›
peer-review
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Keyphrases
Machine Learning Techniques
100%
Machine Learning
100%
Computational Science
100%
Computational Engineering
100%
Simulation Techniques
33%
Machine Learning Algorithms
16%
Computationally Efficient
16%
Large Amount of Data
16%
Virtual Reality Applications
16%
Natural Sciences
16%
Molecular Dynamics
16%
Computational Fluid Dynamics
16%
Scientific Computing
16%
Natural Engineering
16%
Dynamic Molecular
16%
Astronomy
16%
Physical Applications
16%
Cost Simulation
16%
Surrogate Model
16%
Chemical Engineering
Learning System
100%
Material Science
Computational Fluid Dynamics
100%