Copertina

Symplectic Neural Networks Based on Dynamical Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Tapley, Benjamin K
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computational Engineering, Finance, and Science Numerical Analysis Computational Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems
di: Thiruthummal, Abhiram Anand, et al.
Pubblicazione: (2024)

Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
di: He, Xiaolong, et al.
Pubblicazione: (2025)

Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling
di: He, Xiaolong, et al.
Pubblicazione: (2026)

Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems
di: Anandh, Thivin, et al.
Pubblicazione: (2024)

Adaptive Collocation Point Strategies For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method
di: Celaya, Adrian, et al.
Pubblicazione: (2025)

Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles
di: Lin, Kai Chun, et al.
Pubblicazione: (2024)

QuadNorm: Resolution-Robust Normalization for Neural Operators
di: Kim, Bum Jun, et al.
Pubblicazione: (2026)

A Boundary Integral-based Neural Operator for Mesh Deformation
di: Wu, Zhengyu, et al.
Pubblicazione: (2026)

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
di: Liu, Ning, et al.
Pubblicazione: (2023)

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
di: Xie, Xiaoyu, et al.
Pubblicazione: (2024)

Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
di: Sinha, Anshuman, et al.
Pubblicazione: (2024)

Derivative-enhanced Deep Operator Network
di: Qiu, Yuan, et al.
Pubblicazione: (2024)

Toward Adaptive Non-Intrusive Reduced-Order Models: Design and Challenges
di: Hedayat, Amirpasha, et al.
Pubblicazione: (2026)

History-aware adaptive reduced-order models via incremental singular value decomposition
di: Hedayat, Amirpasha, et al.
Pubblicazione: (2026)

Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems
di: Kapadia, Harshit, et al.
Pubblicazione: (2025)

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection
di: Dubey, Vijay K., et al.
Pubblicazione: (2025)

GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
di: Bonneville, Christophe, et al.
Pubblicazione: (2023)

Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures
di: Wang, Yanran, et al.
Pubblicazione: (2023)

Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
di: Giacomini, Matteo, et al.
Pubblicazione: (2026)

Machine Learning based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study
di: Punabantu, Vincent Milimo Masilokwa, et al.
Pubblicazione: (2022)

Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction
di: Lin, Bo-Yi, et al.
Pubblicazione: (2024)

Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing
di: Bakirtzis, Stefanos, et al.
Pubblicazione: (2024)

In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
di: Simpson, Cooper, et al.
Pubblicazione: (2025)

Fast training of accurate physics-informed neural networks without gradient descent
di: Datar, Chinmay, et al.
Pubblicazione: (2024)

A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations
di: Rezaei, Shahed, et al.
Pubblicazione: (2024)

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
di: Salavatidezfouli, Sajad, et al.
Pubblicazione: (2024)

Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool
di: Vardhan, Harsh, et al.
Pubblicazione: (2024)

Predicting Open-Hole Laminates Failure Using Support Vector Machines With Classical and Quantum Kernels
di: Balducci, Giorgio Tosti, et al.
Pubblicazione: (2024)

Physics-informed active learning with simultaneous weak-form latent space dynamics identification
di: He, Xiaolong, et al.
Pubblicazione: (2024)

A mechanism-driven reinforcement learning framework for shape optimization of airfoils
di: Wang, Jingfeng, et al.
Pubblicazione: (2024)

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach
di: Bhattacharjee, Abhinab, et al.
Pubblicazione: (2024)

Structure-Preserving Operator Learning
di: Bouziani, Nacime, et al.
Pubblicazione: (2024)

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
di: Zhao, Jinpai, et al.
Pubblicazione: (2026)

Gaussian process learning of nonlinear dynamics
di: Ye, Dongwei, et al.
Pubblicazione: (2023)

An adjoint method for training data-driven reduced-order models
di: Liu, Donglin, et al.
Pubblicazione: (2026)

A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design
di: Serani, Andrea, et al.
Pubblicazione: (2026)

Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
di: Aretz, Nicole, et al.
Pubblicazione: (2025)

A brief review of the Deep BSDE method for solving high-dimensional partial differential equations
di: Han, Jiequn, et al.
Pubblicazione: (2025)

Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference
di: McQuarrie, Shane A., et al.
Pubblicazione: (2025)

The internal law of a material can be discovered from its boundary
di: Regazzoni, Francesco
Pubblicazione: (2026)