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h-Analysis and data-parallel physics-informed neural networks
Paul Escapil-Inchauspé
,
Gonzalo A. Ruz
Producción científica
:
Contribución a una revista
›
Artículo
›
revisión exhaustiva
4
Citas (Scopus)
Información general
Huella
Huella
Profundice en los temas de investigación de 'h-Analysis and data-parallel physics-informed neural networks'. En conjunto forman una huella única.
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Ponderación
Alfabéticamente
Keyphrases
Physics-informed Neural Networks
100%
Physics-informed Machine Learning
100%
Data Parallelism
100%
Parallel Acceleration
66%
Numerical Experiments
33%
Learning Scheme
33%
Machine Learning Models
33%
High-throughput
33%
Convergence Bounds
33%
Training Points
33%
Increasing Complexity
33%
Multiphysics
33%
Multiple Graphic Processing Units
33%
Generalization Error
33%
Test Gap
33%
Training Framework
33%
Nonlinear Operator
33%
Horovod
33%
Real-world Simulations
33%
High Efficiency
33%
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%
Physics
Physics
100%
Neural Network
100%
Machine Learning
50%
Chemical Engineering
Learning System
100%
Neural Network
100%
Neuroscience
Neural Network
100%
Earth and Planetary Sciences
Machine Learning
100%