Copertina

U-DeepONet: U-Net Enhanced Deep Operator Network for Geologic Carbon Sequestration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Diab, Waleed, Al-Kobaisi, Mohammed
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computational Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Quantum DeepONet: Neural operators accelerated by quantum computing
di: Xiao, Pengpeng, et al.
Pubblicazione: (2024)

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

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

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems
di: Amin, Fouad M., et al.
Pubblicazione: (2025)

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

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

Complex Valued Deep Operator Network (DeepONet) $[\mathcal{G}]$ for Three Dimensional Maxwell's Equations: $\mathcal{G} \in \mathbb{C}^{m \times n}$
di: Jiang, Qile, et al.
Pubblicazione: (2024)

Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
di: Lee, Jonathan E., 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)

Ultra-Fast 3D Porous Media Generation: a GPU- Accelerated List-Indexed Explicit Time-Stepping QSGS Algorithm
di: Wang, Ruofan, et al.
Pubblicazione: (2026)

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

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

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

PaRO-DeepONet: a particle-informed reduced-order deep operator network for Poisson solver in PIC simulations
di: Lv, Jianhua, et al.
Pubblicazione: (2025)

The Calderón's problem via DeepONets
di: Castro, Javier, et al.
Pubblicazione: (2022)

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

Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
di: Kobaisi, Mohammed Al, et al.
Pubblicazione: (2025)

DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
di: Yang, Bo, et al.
Pubblicazione: (2025)

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

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

Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
di: Diab, W., et al.
Pubblicazione: (2025)

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

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

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

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

Learning Hamiltonian Density Using DeepONet
di: Xu, Baige, et al.
Pubblicazione: (2025)

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

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

Multicontinuum Homogenization for Poroelasticity Model
di: Ammosov, Dmitry, et al.
Pubblicazione: (2025)

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

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

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

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

Fine-Tuning DeepONets to Enhance Physics-informed Neural Networks for solving Partial Differential Equations
di: Wu, Sidi
Pubblicazione: (2024)

Soft Actor-Critic with Backstepping-Pretrained DeepONet for control of PDEs
di: Wang, Chenchen, et al.
Pubblicazione: (2025)

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

XI-DeepONet: An operator learning method for elliptic interface problems
di: Bi, Ran, et al.
Pubblicazione: (2024)

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