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1–20 von 1.272 Ergebnissen
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Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures
Elsevier | 2020|Schlagwörter: Deep neural networks, Convolutional neural networks, Knowledge-based neural networks -
Predicting the mechanical response of oligocrystals with deep learning
Elsevier | 2019|Schlagwörter: Convolutional neural networks, Recurrent neural networks -
Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
Elsevier | 2022|Schlagwörter: Neural Networks, Physics Informed Neural Networks, Bayesian Neural Networks -
Neuromorphic Computing with Memristor Crossbar
Wiley | 2018|Schlagwörter: spiking neural networks, deep neural networks -
Generative Model for the Inverse Design of Metasurfaces
American Chemical Society | 2018|Schlagwörter: neural networks -
Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics
Elsevier | 2023|Schlagwörter: Spiking neural networks, Recurrent neural networks -
Layered memristive and memcapacitive switches for printable electronics
Online Contents | 2015|Schlagwörter: Neural networks -
Theory-training deep neural networks for an alloy solidification benchmark problem
Elsevier | 2020|Schlagwörter: Deep neural networks, Theory-trained neural networks (TTNs) -
An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
Elsevier | 2019|Schlagwörter: Deep neural networks -
Neural network aided development of a semi-empirical interatomic potential for titanium
Elsevier | 2019|Schlagwörter: Neural networks -
Deep Learning the Electromagnetic Properties of Metamaterials—A Comprehensive Review
Wiley | 2021|Schlagwörter: neural networks -
Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
Freier ZugriffDataCite | 2022|Schlagwörter: Bayesian Neural Networks, Neural Networks, Physics Informed Neural Networks -
Prediction and optimization of cure cycle of thick fiber-reinforced composite parts using dynamic artificial neural networks
SAGE Publications | 2012|Schlagwörter: neural networks -
A Bidirectional Deep Neural Network for Accurate Silicon Color Design
Wiley | 2019|Schlagwörter: neural networks -
A convolutional neural network based crystal plasticity finite element framework to predict localised deformation in metals
Elsevier | 2022|Schlagwörter: Artificial neural networks, Convolution neural networks -
Compounding Meta‐Atoms into Metamolecules with Hybrid Artificial Intelligence Techniques
Wiley | 2020|Schlagwörter: neural networks -
Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
Elsevier | 2020|Schlagwörter: Neural networks -
Parametric deep energy approach for elasticity accounting for strain gradient effects
Elsevier | 2021|Schlagwörter: Neural networks (NN), Physics-informed neural networks (PINNs) -
A new empirical formula for prediction of fracture energy of concrete based on the artificial neural network
Elsevier | 2017|Schlagwörter: Neural networks -
Multifunctional Metasurface Design with a Generative Adversarial Network
Wiley | 2021|Schlagwörter: neural networks