Copertina

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Amin, Fouad M., Abueidda, Diab W., Pantidis, Panos, Mobasher, Mostafa E.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation
di: Pantidis, Panos, et al.
Pubblicazione: (2024)

DeepOKAN: Deep Operator Network Based on Kolmogorov Arnold Networks for Mechanics Problems
di: Abueidda, Diab W., et al.
Pubblicazione: (2024)

I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN)
di: Abueidda, Diab W., et al.
Pubblicazione: (2023)

Integrated Finite Element Neural Network (IFENN) for Phase-Field Fracture with Minimal Input and Generalized Geometry-Load Handling
di: Pantidis, Panos, et al.
Pubblicazione: (2025)

Time Resolution Independent Operator Learning
di: Abueidda, Diab W., et al.
Pubblicazione: (2025)

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
di: Ahmed, Bilal, et al.
Pubblicazione: (2024)

A new unified arc-length method for damage mechanics problems
di: Saji, Roshan Philip, et al.
Pubblicazione: (2023)

Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
di: He, Junyan, et al.
Pubblicazione: (2024)

Image-based adaptive domain decomposition for continuum damage models
di: Pantidis, Panos, et al.
Pubblicazione: (2024)

Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
di: He, Junyan, et al.
Pubblicazione: (2024)

Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
di: Santos, Ezequiel S., et al.
Pubblicazione: (2025)

Efficient FGM optimization with a novel design space and DeepONet
di: Agrawal, Piyush, et al.
Pubblicazione: (2024)

$ϕ-$DeepONet: A Discontinuity Capturing Neural Operator
di: Roy, Sumanta, et al.
Pubblicazione: (2026)

A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
di: Xu, Chen, et al.
Pubblicazione: (2023)

Predictions of Transient Vector Solution Fields with Sequential Deep Operator Network
di: He, Junyan, et al.
Pubblicazione: (2023)

Simple demonstration of different types of coupling in multiphysics numerical problems
di: Lavrov, Alexandre
Pubblicazione: (2025)

Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing
di: Kushwaha, Shashank, et al.
Pubblicazione: (2024)

A comprehensive comparison of neural operators for 3D industry-scale engineering designs
di: Zhong, Weiheng, et al.
Pubblicazione: (2025)

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
di: Park, Jaewan, et al.
Pubblicazione: (2025)

Block-structured Operator Inference for coupled multiphysics model reduction
di: Zastrow, Benjamin G., et al.
Pubblicazione: (2025)

Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier
di: Park, Jaewan, et al.
Pubblicazione: (2024)

Inverse prediction of capacitor multiphysics dynamic parameters using deep generative model
di: Lim, Kart-Leong, et al.
Pubblicazione: (2026)

Multiscale graph neural networks with adaptive mesh refinement for accelerating mesh-based simulations
di: Perera, Roberto, et al.
Pubblicazione: (2024)

A multiphysics model for triboelectric nanogenerator design with explicit surface roughness representation
di: Sanglap, MD Tanzib Ehsan, et al.
Pubblicazione: (2026)

A scalable neural bundle map for multiphysics prediction in lithium-ion battery across varying configurations
di: Zhao, Zhiwei, et al.
Pubblicazione: (2026)

Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
di: Nair, Siddharth, et al.
Pubblicazione: (2025)

Impacts of DEM Type and Resolution on Deep Learning-Based Flood Inundation Mapping
di: Fereshtehpour, Mohammad, et al.
Pubblicazione: (2023)

Exploration of improved, roller-based spreading strategies for cohesive powders in additive manufacturing via coupled DEM-FEM simulations
di: Weissbach, Reimar, et al.
Pubblicazione: (2023)

Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method
di: Jarrahi, Mohammad Amin, et al.
Pubblicazione: (2024)

Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods
di: Parthasarathy, Tejaswin, et al.
Pubblicazione: (2026)

Stock Market Dynamics Through Deep Learning Context
di: Aminimehr, Amirhossein, et al.
Pubblicazione: (2024)

Modelling and simulation of electro-mechanically coupled dielectric elastomers and myocardial tissue using smoothed finite element methods
di: Tran, Tan, et al.
Pubblicazione: (2025)

An energy-based material model for the simulation of shape memory alloys under complex boundary value problems
di: Erdogan, C., et al.
Pubblicazione: (2024)

GeoSim.AI: AI assistants for numerical simulations in geomechanics
di: Bekele, Yared W.
Pubblicazione: (2025)

Energy-based PINNs for solving coupled field problems: concepts and application to the multi-objective optimal design of an induction heater
di: Baldan, Marco, et al.
Pubblicazione: (2024)

DEDEM: Discontinuity Embedded Deep Energy Method for solving fracture mechanics problems
di: Zhao, Luyang, et al.
Pubblicazione: (2024)

Parameter unbounded Uzawa and penalty-splitted accelerated algorithms for frictionless contact problems
di: Koliesnikova, Daria, et al.
Pubblicazione: (2026)

An adaptive acceleration scheme for phase-field fatigue computations
di: Heinzmann, Jonas, et al.
Pubblicazione: (2024)

A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
di: Nguyen, Van-Dung, et al.
Pubblicazione: (2023)

PGD-TO: A Scalable Alternative to MMA Using Projected Gradient Descent for Multi-Constraint Topology Optimization
di: Nobari, Amin Heyrani, et al.
Pubblicazione: (2025)