Cover Image

Multi-Head Residual-Gated DeepONet for Coherent Nonlinear Wave Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Zhiwei, Pan, Yiming, Coca, Daniel
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
by: Lone, Soban Nasir, et al.
Published: (2024)

Learning Hamiltonian Density Using DeepONet
by: Xu, Baige, et al.
Published: (2025)

BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
by: Li, Lingfeng, et al.
Published: (2024)

Ensemble and Mixture-of-Experts DeepONets For Operator Learning
by: Sharma, Ramansh, et al.
Published: (2024)

DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training
by: Yang, Yahong
Published: (2024)

Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
by: Kumar, Varun, et al.
Published: (2024)

Learning Nonlinear Responses in PET Bottle Buckling with a Hybrid DeepONet-Transolver Framework
by: Kumar, Varun, et al.
Published: (2025)

Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
by: Choi, Yongjin, et al.
Published: (2025)

Improving physics-informed DeepONets with hard constraints
by: Brecht, Rüdiger, et al.
Published: (2023)

DeepONet-accelerated Bayesian inversion for moving boundary problems
by: Iglesias, Marco A., et al.
Published: (2025)

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation
by: Abid, Muhammad, et al.
Published: (2025)

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
by: Sojitra, Arth, et al.
Published: (2025)

Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions
by: Park, Jangseop, et al.
Published: (2024)

Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
by: Nath, Kamaljyoti, et al.
Published: (2025)

Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine Learning
by: Mandl, Luis, et al.
Published: (2024)

TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation
by: Nayak, Dibyajyoti, et al.
Published: (2025)

DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
by: Zhang, Zecheng, et al.
Published: (2024)

Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries
by: Barlogis, Rodolphe, et al.
Published: (2026)

Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
by: Matlia, Purav, et al.
Published: (2026)

SG-DeepONet: Source-generalized deep operator learning for full waveform inversion
by: Guo, Zekai, et al.
Published: (2024)

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces
by: Levrero-Florencio, Francesc, et al.
Published: (2026)

Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
by: Moya, Christian, et al.
Published: (2024)

DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs
by: Jiang, Zhaoxi, et al.
Published: (2025)

Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
by: Blechschmidt, Jan, et al.
Published: (2025)

Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
by: Lee, Jonathan E., et al.
Published: (2024)

Topological DeepONets and a generalization of the Chen-Chen operator approximation theorem
by: Ismailov, Vugar
Published: (2026)

Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
by: Wang, Hongquan, et al.
Published: (2026)

A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
by: Kota, Purna Vindhya, et al.
Published: (2026)

Hybrid twinning using PBDW and DeepONet for the effective state estimation and prediction on partially known systems
by: Massala, Stiven Briand, et al.
Published: (2025)

Physics-Informed DeepONet Coupled with FEM for Convective Transport in Porous Media with Sharp Gaussian Sources
by: Kara, Erdi, et al.
Published: (2025)

Shock-Aware Physics-Guided Fusion-DeepONet Operator for Rarefied Micro-Nozzle Flows
by: Roohi, Ehsan, et al.
Published: (2025)

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

Physics-Informed Time-Integrated DeepONet: Temporal Tangent Space Operator Learning for High-Accuracy Inference
by: Mandl, Luis, et al.
Published: (2025)

ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
by: Son, Hwijae
Published: (2025)

Hybrid Least Squares/Gradient Descent Methods for DeepONets
by: Choi, Jun, et al.
Published: (2025)

Physics-constrained DeepONet for Surrogate CFD models: a curved backward-facing step case
by: Jnini, Anas, et al.
Published: (2025)

What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
by: Williams, Emily, et al.
Published: (2024)

Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows
by: Peyvan, Ahmad, et al.
Published: (2025)

fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
by: Lu, Binghang, et al.
Published: (2026)

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
by: Zhu, Min, et al.
Published: (2023)