Machine Learning in Modeling and Simulation
portes grátis
Machine Learning in Modeling and Simulation
Methods and Applications
Rabczuk, Timon; Bathe, Klaus-Juergen
Springer International Publishing AG
10/2024
451
Mole
9783031366468
15 a 20 dias
Descrição não disponível.
Machine Learning in Computer-Aided Engineering.- Artificial Neural Networks.- Gaussian Processes.- Machine Learning Methods for Constructing Dynamic Models from Data.- Physics-Informed Neural Networks: Theory and Applications.- Physics-Informed Deep Neural Operator Networks.- Digital Twin for Dynamical Systems.- Reduced Order Modeling.- Regression Models for Machine Learning.- Overview on Machine Learning Assisted Topology Optimization Methodologies.- Mixed-variable Concurrent Material, Geometry and Process Design in Integrated Computational Materials Engineering.- Machine Learning Interatomic Potentials: Keys to First-principles Multiscale Modeling.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Modeling and Simulation;Computational Mechanics;Computational Materials Science;Optimization;Reduced Order Modeling
Machine Learning in Computer-Aided Engineering.- Artificial Neural Networks.- Gaussian Processes.- Machine Learning Methods for Constructing Dynamic Models from Data.- Physics-Informed Neural Networks: Theory and Applications.- Physics-Informed Deep Neural Operator Networks.- Digital Twin for Dynamical Systems.- Reduced Order Modeling.- Regression Models for Machine Learning.- Overview on Machine Learning Assisted Topology Optimization Methodologies.- Mixed-variable Concurrent Material, Geometry and Process Design in Integrated Computational Materials Engineering.- Machine Learning Interatomic Potentials: Keys to First-principles Multiscale Modeling.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
