Multi-Head Neural Operator for Modelling Interfacial Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Eshaghi, Mohammad Sadegh, Valizadeh, Navid, Anitescu, Cosmin, Wang, Yizheng, Zhuang, Xiaoying, Rabczuk, Timon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2025)
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2025)
PENCO: A Physics-Energy-Numerics-Consistent Operator for 3D Phase Field Modeling
by: Bamdad, Mostafa, et al.
Published: (2025)
by: Bamdad, Mostafa, et al.
Published: (2025)
Variational Physics-informed Neural Operator (VINO) for Solving Partial Differential Equations
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs
by: Wang, Yizheng, et al.
Published: (2026)
by: Wang, Yizheng, et al.
Published: (2026)
Pretrain Finite Element Method: A Pretraining and Warm-start Framework for PDEs via Physics-Informed Neural Operators
by: Wang, Yizheng, et al.
Published: (2026)
by: Wang, Yizheng, et al.
Published: (2026)
Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beams
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
Transfer Learning in Physics-Informed Neural Networks: Full Fine-Tuning, Lightweight Fine-Tuning, and Low-Rank Adaptation
by: Wang, Yizheng, et al.
Published: (2025)
by: Wang, Yizheng, et al.
Published: (2025)
Transfer Learning in Physics‐Informed Neurals Networks: Full Fine‐Tuning, Lightweight Fine‐Tuning, and Low‐Rank Adaptation
by: Yizheng Wang, et al.
Published: (2025)
by: Yizheng Wang, et al.
Published: (2025)
Replay-Based Continual Learning for Physics-Informed Neural Operators
by: Wang, Yizheng, et al.
Published: (2026)
by: Wang, Yizheng, et al.
Published: (2026)
Phase-field modeling of multicomponent vesicles in viscoelastic fluid
by: Wen, Zuowei, et al.
Published: (2025)
by: Wen, Zuowei, et al.
Published: (2025)
Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)
by: Wang, Yizheng, et al.
Published: (2025)
by: Wang, Yizheng, et al.
Published: (2025)
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
by: Wang, Yizheng, et al.
Published: (2024)
by: Wang, Yizheng, et al.
Published: (2024)
A discontinuous Galerkin method based isogeometric analysis framework for flexoelectricity in micro-architected dielectric solids
by: Sharma, Saurav, et al.
Published: (2023)
by: Sharma, Saurav, et al.
Published: (2023)
CAD-compatible structural shape optimization with a movable Bézier tetrahedral mesh
by: López, Jorge, et al.
Published: (2023)
by: López, Jorge, et al.
Published: (2023)
A Computational Model for Flexoelectricity-Driven Contact Electrification
by: Hu, Han, et al.
Published: (2026)
by: Hu, Han, et al.
Published: (2026)
Artificial intelligence for partial differential equations in computational mechanics: A review
by: Wang, Yizheng, et al.
Published: (2024)
by: Wang, Yizheng, et al.
Published: (2024)
A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8
by: Mortazavi, Bohayra, et al.
Published: (2024)
by: Mortazavi, Bohayra, et al.
Published: (2024)
Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks
by: Wang, Yizheng, et al.
Published: (2025)
by: Wang, Yizheng, et al.
Published: (2025)
The Influence of Discontinuity‐Induced Fringing Effect on the Output Performance of Contact‐Separation Mode Triboelectric Nanogenerators: Experiment and Modeling Studies
by: Teresa Cheng, et al.
Published: (2024)
by: Teresa Cheng, et al.
Published: (2024)
Energy-based physics-informed neural network for frictionless contact problems under large deformation
by: Bai, Jinshuai, et al.
Published: (2024)
by: Bai, Jinshuai, et al.
Published: (2024)
A surrogate model for computational homogenization of elastostatics at finite strain using the HDMR-based neural network approximator
by: Nguyen-Thanh, Vien Minh, et al.
Published: (2019)
by: Nguyen-Thanh, Vien Minh, et al.
Published: (2019)
DCEM: A deep complementary energy method for linear elasticity
by: Yizheng Wang, et al.
Published: (2024)
by: Yizheng Wang, et al.
Published: (2024)
DCEM: A deep complementary energy method for solid mechanics
by: Wang, Yizheng, et al.
Published: (2023)
by: Wang, Yizheng, et al.
Published: (2023)
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains
by: Zhu, Bokai, et al.
Published: (2026)
by: Zhu, Bokai, et al.
Published: (2026)
A coupled finite element-virtual element method for thermomechanical analysis of electronic packaging structures
by: Gong, Yanpeng, et al.
Published: (2025)
by: Gong, Yanpeng, et al.
Published: (2025)
A phase-field framework for anisotropic viscoelastic-viscoplastic fracture in short fiber-reinforced polymers in hygrothermal environments
by: Arash, Behrouz, et al.
Published: (2026)
by: Arash, Behrouz, et al.
Published: (2026)
Data-Driven Structural Health Monitoring of Short Carbon Fiber-Reinforced Polymer Composites via Multiphysics Phase-Field Simulation
by: Arash, Behrouz, et al.
Published: (2026)
by: Arash, Behrouz, et al.
Published: (2026)
A Pretraining-Finetuning Computational Framework for Material Homogenization
by: Wang, Yizheng, et al.
Published: (2024)
by: Wang, Yizheng, et al.
Published: (2024)
Hierarchical multiscale fracture modeling of carbon-nitride nanosheet reinforced composites by combining cohesive phase-field and molecular dynamics
by: Zhang, Qinghua, et al.
Published: (2024)
by: Zhang, Qinghua, et al.
Published: (2024)
Physics-Informed Kolmogorov-Arnold Networks for multi-material elasticity problems in electronic packaging
by: Gong, Yanpeng, et al.
Published: (2025)
by: Gong, Yanpeng, et al.
Published: (2025)
Hubbard Model on the Honeycomb Lattice with an Indefinite Long-Range Interaction
by: Vaezi, Mohammad-Sadegh, et al.
Published: (2024)
by: Vaezi, Mohammad-Sadegh, et al.
Published: (2024)
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
by: Ranade, Rishikesh, et al.
Published: (2025)
by: Ranade, Rishikesh, et al.
Published: (2025)
Learning Stiff Dynamical Operators: Scaling, Fast-Slow Excitation, and Eigen-Consistent Neural Models
by: Valorani, Mauro
Published: (2026)
by: Valorani, Mauro
Published: (2026)
Fractal geometry-governed oxygen diffusion: Tumors vs. Normal Tissues
by: Valizadeh, Neda, et al.
Published: (2026)
by: Valizadeh, Neda, et al.
Published: (2026)
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes
by: Hauth, Jeremiah, et al.
Published: (2024)
by: Hauth, Jeremiah, et al.
Published: (2024)
Multi-population Ensemble Genetic Programming via Cooperative Coevolution and Multi-view Learning for Classification
by: Khorshidi, Mohammad Sadegh, et al.
Published: (2025)
by: Khorshidi, Mohammad Sadegh, et al.
Published: (2025)
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)
Real-time Dynamics of the Schwinger Model as an Open Quantum System with Neural Density Operators
by: Lin, Joshua, et al.
Published: (2024)
by: Lin, Joshua, et al.
Published: (2024)
Programmable Photonic Circuits with Embedded Feedback for Parallel Multi-Wavelength Operations
by: Zelaya, Kevin, et al.
Published: (2025)
by: Zelaya, Kevin, et al.
Published: (2025)
Fast automatically differentiable matrix functions and applications in molecular simulations
by: Torabi, Tina, et al.
Published: (2024)
by: Torabi, Tina, et al.
Published: (2024)
Similar Items
-
NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2025) -
PENCO: A Physics-Energy-Numerics-Consistent Operator for 3D Phase Field Modeling
by: Bamdad, Mostafa, et al.
Published: (2025) -
Variational Physics-informed Neural Operator (VINO) for Solving Partial Differential Equations
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024) -
Deep Energy Method with Large Language Model assistance: an open-source Streamlit-based platform for solving variational PDEs
by: Wang, Yizheng, et al.
Published: (2026) -
Pretrain Finite Element Method: A Pretraining and Warm-start Framework for PDEs via Physics-Informed Neural Operators
by: Wang, Yizheng, et al.
Published: (2026)