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h-Analysis and data-parallel physics-informed neural networks
Paul Escapil-Inchauspé
,
Gonzalo A. Ruz
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
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INIS
data
100%
neural networks
100%
physics
100%
machine learning
50%
acceleration
50%
architecture
16%
applications
16%
processing
16%
range
16%
convergence
16%
simulation
16%
increasing
16%
trains
16%
units
16%
errors
16%
nonlinear problems
16%
Computer Science
Physics-Informed Neural Network
100%
High Throughput
33%
Training Point
33%
Sophisticated Application
33%
Machine Learning Scheme
33%
Linear Operator
33%
Generalization Error
33%
World Simulation
33%
Graphics Processing Unit
33%
Machine Learning Model
33%
Keyphrases
Parallel Physics-informed Neural Networks
100%
Novel Protocols
33%
Generic Scale
33%
Highly Controllable
33%