Physics-informed two-tier neural network for non-linear model order reduction

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Physics-informed two-tier neural network for non-linear model order reduction ; volume:11 ; number:1 ; day:14 ; month:11 ; year:2024 ; pages:1-49 ; date:12.2024
Advanced modeling and simulation in engineering sciences ; 11, Heft 1 (14.11.2024), 1-49, 12.2024

Creator: Hong, Yankun
Bansal, Harshit
Veroy, Karen

Contributor: SpringerLink (Online service)

DOI: 10.1186/s40323-024-00273-3

URN: urn:nbn:de:101:1-2502040939230.531813439687

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Hong, Yankun
Bansal, Harshit
Veroy, Karen
SpringerLink (Online service)

Other Objects (12)

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Physics-informed two-tier neural network for non-linear model order reduction

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Stiff-PDEs and Physics-Informed Neural Networks

Physics-informed shape optimization using coordinate projection

Physics‐Informed Inverse Design of Programmable Metasurfaces

Physics-informed regression of implicitly-constrained robot dynamics

Predicting glass structure by physics-informed machine learning

Physics-Informed Masked Autoencoder for active sparse imaging

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Learning free-surface flow with physics-informed neural networks

Physics-informed neural networks applied to catastrophic creeping landslides

Physics-informed neural networks applied to catastrophic creeping landslides

Physics‐Informed Machine Learning for Optical Modes in Composites

Related objects

Reset password