Geometry-Informed Neural Operator Transformer
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Qibang, Zhong, Weiheng, Meidani, Hadi, Abueidda, Diab, Koric, Seid, Geubelle, Philippe |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Signed Distance Function based Metamaterial Design: Neural Operator Transformer for Forward Prediction and Diffusion Model for Inverse Design
por: Liu, Qibang, et al.
Publicado: (2025)
por: Liu, Qibang, et al.
Publicado: (2025)
A comprehensive comparison of neural operators for 3D industry-scale engineering designs
por: Zhong, Weiheng, et al.
Publicado: (2025)
por: Zhong, Weiheng, et al.
Publicado: (2025)
Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing
por: Liu, Qibang, et al.
Publicado: (2024)
por: Liu, Qibang, et al.
Publicado: (2024)
Physics-Informed Geometry-Aware Neural Operator
por: Zhong, Weiheng, et al.
Publicado: (2024)
por: Zhong, Weiheng, et al.
Publicado: (2024)
Sequential Neural Operator Transformer for High-Fidelity Surrogates of Time-Dependent Non-linear Partial Differential Equations
por: Liu, Qibang, et al.
Publicado: (2025)
por: Liu, Qibang, et al.
Publicado: (2025)
When Network Architecture Meets Physics: Deep Operator Learning for Coupled Multiphysics
por: Kobayashi, Kazuma, et al.
Publicado: (2025)
por: Kobayashi, Kazuma, et al.
Publicado: (2025)
Physics-informed Discretization-independent Deep Compositional Operator Network
por: Zhong, Weiheng, et al.
Publicado: (2024)
por: Zhong, Weiheng, et al.
Publicado: (2024)
Virtual Sensing-Enabled Digital Twin Framework for Real-Time Monitoring of Nuclear Systems Leveraging Deep Neural Operators
por: Hossain, Raisa Bentay, et al.
Publicado: (2024)
por: Hossain, Raisa Bentay, et al.
Publicado: (2024)
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
por: He, Junyan, et al.
Publicado: (2024)
por: He, Junyan, et al.
Publicado: (2024)
PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks
por: Sobh, Nahil, et al.
Publicado: (2025)
por: Sobh, Nahil, et al.
Publicado: (2025)
From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
por: Kobayashi, Kazuma, et al.
Publicado: (2025)
por: Kobayashi, Kazuma, et al.
Publicado: (2025)
Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier
por: Park, Jaewan, et al.
Publicado: (2024)
por: Park, Jaewan, et al.
Publicado: (2024)
Predictions of Transient Vector Solution Fields with Sequential Deep Operator Network
por: He, Junyan, et al.
Publicado: (2023)
por: He, Junyan, et al.
Publicado: (2023)
Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing
por: Kushwaha, Shashank, et al.
Publicado: (2024)
por: Kushwaha, Shashank, et al.
Publicado: (2024)
Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity
por: He, Junyan, et al.
Publicado: (2024)
por: He, Junyan, et al.
Publicado: (2024)
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
por: Liu, Tong, et al.
Publicado: (2023)
por: Liu, Tong, et al.
Publicado: (2023)
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
por: Liu, Tong, et al.
Publicado: (2024)
por: Liu, Tong, et al.
Publicado: (2024)
Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems
por: Liu, Tong, et al.
Publicado: (2022)
por: Liu, Tong, et al.
Publicado: (2022)
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
por: Liu, Tong, et al.
Publicado: (2025)
por: Liu, Tong, et al.
Publicado: (2025)
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
por: Liu, Tong, et al.
Publicado: (2024)
por: Liu, Tong, et al.
Publicado: (2024)
Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
por: Lee, Yoon Pyo, et al.
Publicado: (2025)
por: Lee, Yoon Pyo, et al.
Publicado: (2025)
Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
por: Liu, Tong, et al.
Publicado: (2025)
por: Liu, Tong, et al.
Publicado: (2025)
Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
por: Park, Jaewan, et al.
Publicado: (2025)
por: Park, Jaewan, et al.
Publicado: (2025)
Generalized Lie Symmetries in Physics-Informed Neural Operators
por: Wang, Amy Xiang, et al.
Publicado: (2025)
por: Wang, Amy Xiang, et al.
Publicado: (2025)
Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data
por: Chen, Keyan, et al.
Publicado: (2025)
por: Chen, Keyan, et al.
Publicado: (2025)
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
por: Eivazi, Hamidreza, et al.
Publicado: (2025)
por: Eivazi, Hamidreza, et al.
Publicado: (2025)
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations
por: Gladstone, Rini Jasmine, et al.
Publicado: (2024)
por: Gladstone, Rini Jasmine, et al.
Publicado: (2024)
DimINO: Dimension-Informed Neural Operator Learning
por: Song, Yichen, et al.
Publicado: (2024)
por: Song, Yichen, et al.
Publicado: (2024)
LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs
por: Wang, Jing, et al.
Publicado: (2025)
por: Wang, Jing, et al.
Publicado: (2025)
ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning
por: Chen, Wenqian, et al.
Publicado: (2026)
por: Chen, Wenqian, et al.
Publicado: (2026)
Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator
por: Zhong, Ming, et al.
Publicado: (2025)
por: Zhong, Ming, et al.
Publicado: (2025)
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
por: Ahmed, Bilal, et al.
Publicado: (2025)
por: Ahmed, Bilal, et al.
Publicado: (2025)
Neural Operators for Accelerating Scientific Simulations and Design
por: Azizzadenesheli, Kamyar, et al.
Publicado: (2023)
por: Azizzadenesheli, Kamyar, et al.
Publicado: (2023)
Effects of Prompt Length on Domain-specific Tasks for Large Language Models
por: Liu, Qibang, et al.
Publicado: (2025)
por: Liu, Qibang, et al.
Publicado: (2025)
Physics-Informed Reduced-Order Operator Learning for Hyperelasticity in Continuum Micromechanics
por: Eivazi, Hamidreza, et al.
Publicado: (2026)
por: Eivazi, Hamidreza, et al.
Publicado: (2026)
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
por: Zhou, Xu-Hui, et al.
Publicado: (2024)
por: Zhou, Xu-Hui, et al.
Publicado: (2024)
Discrete Solution Operator Learning for Geometry-Dependent PDEs
por: Bai, Jinshuai, et al.
Publicado: (2026)
por: Bai, Jinshuai, et al.
Publicado: (2026)
Equilibrium Conserving Neural Operators for Super-Resolution Learning
por: Oommen, Vivek, et al.
Publicado: (2025)
por: Oommen, Vivek, et al.
Publicado: (2025)
Generative Neural Operators through Diffusion Last Layer
por: Park, Sungwon, et al.
Publicado: (2026)
por: Park, Sungwon, et al.
Publicado: (2026)
Physics-Informed Neural Solvers for Periodic Quantum Eigenproblems
por: Mian, Haaris
Publicado: (2025)
por: Mian, Haaris
Publicado: (2025)
Ejemplares similares
-
Towards Signed Distance Function based Metamaterial Design: Neural Operator Transformer for Forward Prediction and Diffusion Model for Inverse Design
por: Liu, Qibang, et al.
Publicado: (2025) -
A comprehensive comparison of neural operators for 3D industry-scale engineering designs
por: Zhong, Weiheng, et al.
Publicado: (2025) -
Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing
por: Liu, Qibang, et al.
Publicado: (2024) -
Physics-Informed Geometry-Aware Neural Operator
por: Zhong, Weiheng, et al.
Publicado: (2024) -
Sequential Neural Operator Transformer for High-Fidelity Surrogates of Time-Dependent Non-linear Partial Differential Equations
por: Liu, Qibang, et al.
Publicado: (2025)