Learning coupled Allen-Cahn and Cahn-Hilliard phase-field equations using Physics-informed neural operator(PINO)
Fuente:
arXiv
Saved in:
| Main Authors: | Gangmei, Gaijinliu, Rana, Santu, Rolfe, Bernard, Mitra, Kishalay, Bhattacharyya, Saswata |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explicit adaptive time stepping for the Cahn-Hilliard equation by exponential Krylov subspace and Chebyshev polynomial methods
by: Botchev, Mike A.
Published: (2025)
by: Botchev, Mike A.
Published: (2025)
Efficient and stable time integration of Cahn-Hilliard equations: explicit, implicit and explicit iterative schemes
by: Botchev, M. A., et al.
Published: (2024)
by: Botchev, M. A., et al.
Published: (2024)
Surface profile recovery from electromagnetic field with physics--informed neural networks
by: Chen, Yuxuan, et al.
Published: (2024)
by: Chen, Yuxuan, et al.
Published: (2024)
Unconditionally energy stable IEQ-FEMs for the Cahn-Hilliard equation and Allen-Cahn equation
by: Chen, Yaoyao, et al.
Published: (2024)
by: Chen, Yaoyao, et al.
Published: (2024)
Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
by: Go, Jinwoo, et al.
Published: (2024)
by: Go, Jinwoo, et al.
Published: (2024)
Physics-informed neural networks with curriculum training for poroelastic flow and deformation processes
by: Bekele, Yared W.
Published: (2024)
by: Bekele, Yared W.
Published: (2024)
Layer dynamics for the one dimensional $\varepsilon$-dependent Cahn-Hilliard / Allen-Cahn equation
by: Antonopoulou, Dimitra, et al.
Published: (2021)
by: Antonopoulou, Dimitra, et al.
Published: (2021)
Asymptotic analysis of the Allen-Cahn equation with dynamic boundary conditions of Cahn-Hilliard type
by: Colli, Pierluigi, et al.
Published: (2025)
by: Colli, Pierluigi, et al.
Published: (2025)
Vehicle single track modeling using physics guided neural differential equations
by: Rhode, Stephan, et al.
Published: (2024)
by: Rhode, Stephan, et al.
Published: (2024)
Physics-informed neural networks for parameter learning of wildfire spreading
by: Vogiatzoglou, Konstantinos, et al.
Published: (2024)
by: Vogiatzoglou, Konstantinos, et al.
Published: (2024)
Convective Viscous Cahn-Hilliard/Allen-Cahn Equation with memory effects
by: Mchedlov-Petrosyan, P. O., et al.
Published: (2025)
by: Mchedlov-Petrosyan, P. O., et al.
Published: (2025)
The Cahn-Hilliard Equation and the Allen-Cahn Equation on Manifolds with Conical Singularities
by: Roidos, Nikolaos, et al.
Published: (2012)
by: Roidos, Nikolaos, et al.
Published: (2012)
Physics-informed neural networks for form-finding of unilateral membrane structures
by: Sibille, Luigi, et al.
Published: (2026)
by: Sibille, Luigi, et al.
Published: (2026)
Automated machine learning for physics-informed convolutional neural networks
by: Zhou, Wanyun, et al.
Published: (2024)
by: Zhou, Wanyun, et al.
Published: (2024)
Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators
by: Ouyang, Weihang, et al.
Published: (2025)
by: Ouyang, Weihang, et al.
Published: (2025)
Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks
by: Nai, Dingqi, et al.
Published: (2024)
by: Nai, Dingqi, et al.
Published: (2024)
PINN-MG: A physics-informed neural network for mesh generation
by: Wang, Min, et al.
Published: (2025)
by: Wang, Min, et al.
Published: (2025)
Spatiotemporal decoupled physics-informed Stone-Weierstrass neural operator for long-time prediction of time-dependent parametric PDEs
by: Ding, Shan, et al.
Published: (2026)
by: Ding, Shan, et al.
Published: (2026)
Simulation of parametrized cardiac electrophysiology in three dimensions using physics-informed neural networks
by: Gomez, Roshan Antony, et al.
Published: (2025)
by: Gomez, Roshan Antony, et al.
Published: (2025)
A comprehensive comparison of neural operators for 3D industry-scale engineering designs
by: Zhong, Weiheng, et al.
Published: (2025)
by: Zhong, Weiheng, et al.
Published: (2025)
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
by: Rezaei, Shahed, et al.
Published: (2024)
by: Rezaei, Shahed, et al.
Published: (2024)
Convergence of physics-informed neural networks modeling time-harmonic wave fields
by: Schoder, Stefan, et al.
Published: (2025)
by: Schoder, Stefan, et al.
Published: (2025)
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks
by: Song, Jiahao, et al.
Published: (2024)
by: Song, Jiahao, et al.
Published: (2024)
Quantum Financial Modeling on Noisy Intermediate-Scale Quantum Hardware: Random Walks using Approximate Quantum Counting
by: Widdows, Dominic, et al.
Published: (2023)
by: Widdows, Dominic, et al.
Published: (2023)
An adaptive acceleration scheme for phase-field fatigue computations
by: Heinzmann, Jonas, et al.
Published: (2024)
by: Heinzmann, Jonas, et al.
Published: (2024)
Bayesian uncertainty analysis for underwater 3D reconstruction with neural radiance fields
by: Lian, Haojie, et al.
Published: (2024)
by: Lian, Haojie, et al.
Published: (2024)
A second-order structure-preserving discretization for the Cahn-Hilliard/Allen-Cahn system with cross-kinetic coupling
by: Brunk, Aaron, et al.
Published: (2023)
by: Brunk, Aaron, et al.
Published: (2023)
A phase field model for hydraulic fracture: Drucker-Prager driving force and a hybrid coupling strategy
by: Navidtehrani, Y., et al.
Published: (2025)
by: Navidtehrani, Y., et al.
Published: (2025)
Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming
by: Zhao, Yingxue, et al.
Published: (2026)
by: Zhao, Yingxue, et al.
Published: (2026)
High-Performance Gradient Evaluation for Complex Soft Materials Using MPI-based DFS Algorithm
by: Bhattacharyya, Anurag
Published: (2025)
by: Bhattacharyya, Anurag
Published: (2025)
A generalized Allen–Cahn model with mass source and its Cahn–Hilliard limit
by: Wei Shi, et al.
Published: (2024)
by: Wei Shi, et al.
Published: (2024)
Pressure-robust enriched Galerkin finite element methods for coupled Navier-Stokes and heat equations
by: Poudel, Sanjeeb, et al.
Published: (2025)
by: Poudel, Sanjeeb, et al.
Published: (2025)
Physics-informed, Generative Adversarial Design of Funicular Shells
by: Lourenço, Rúben, et al.
Published: (2026)
by: Lourenço, Rúben, et al.
Published: (2026)
Inverse design of anisotropic microstructures using physics-augmented neural networks
by: Jadoon, Asghar A., et al.
Published: (2024)
by: Jadoon, Asghar A., et al.
Published: (2024)
Modeling the drying process in hard carbon electrodes based on the phase-field method
by: Weichel, Marcel, et al.
Published: (2025)
by: Weichel, Marcel, et al.
Published: (2025)
Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams
by: Schommartz, Jasper O., et al.
Published: (2024)
by: Schommartz, Jasper O., et al.
Published: (2024)
Modeling ice cliff stability using a new Mohr-Coulomb-based phase field fracture model
by: Clayton, T., et al.
Published: (2025)
by: Clayton, T., et al.
Published: (2025)
Learning solutions of parametric Navier-Stokes with physics-informed neural networks
by: Naderibeni, M., et al.
Published: (2024)
by: Naderibeni, M., et al.
Published: (2024)
Fast proton transport and neutron production in proton therapy using Fourier neural operators
by: Blangiardi, Francesco, et al.
Published: (2026)
by: Blangiardi, Francesco, et al.
Published: (2026)
PyTOaCNN: Topology optimization using an adaptive convolutional neural network in Python
by: Chadha, Khaish Singh, et al.
Published: (2024)
by: Chadha, Khaish Singh, et al.
Published: (2024)
Similar Items
-
Explicit adaptive time stepping for the Cahn-Hilliard equation by exponential Krylov subspace and Chebyshev polynomial methods
by: Botchev, Mike A.
Published: (2025) -
Efficient and stable time integration of Cahn-Hilliard equations: explicit, implicit and explicit iterative schemes
by: Botchev, M. A., et al.
Published: (2024) -
Surface profile recovery from electromagnetic field with physics--informed neural networks
by: Chen, Yuxuan, et al.
Published: (2024) -
Unconditionally energy stable IEQ-FEMs for the Cahn-Hilliard equation and Allen-Cahn equation
by: Chen, Yaoyao, et al.
Published: (2024) -
Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
by: Go, Jinwoo, et al.
Published: (2024)