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Nanoscale materials modelling using neural networks
Nikolaos Asproulis
,
Dimitris Drikakis
Cranfield University
Fluid Mechanics and Computational Science Group
Research output
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peer-review
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Keyphrases
Computation Time
50%
Cylindrical Void
50%
Material Modeling
100%
Molecular Dynamics
50%
Molecular Dynamics Simulation
50%
Molecular Simulation
50%
Molecular Systems
50%
Nanomaterials
100%
Neural Network
100%
Neural Network Method
50%
Parametric Investigation
50%
Side Shear
50%
Engineering
Broadening
100%
Computational Time
100%
Computer Simulation
100%
Fine Grain
100%
Limitations
100%
Nanomaterial
100%
Neural Network Approach
100%
Material Science
Molecular Simulation
100%
Chemical Engineering
Neural Network
100%