Cover Image

An Adaptive Physics-Driven Deep Learning Framework for a Two-Phase Stefan Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hassanzadeh, Meraj, Ghaderi, Ehsan, Fatahi, Fatemeh, Bijarchi, Mohamad Ali
Format:	Preprint
Published:	2025
Subjects:	Mathematical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FlexPINN: Modeling Fluid Dynamics and Mass Transfer in 3D Micromixer Geometries Using a Flexible Physics-Informed Neural Network
by: Hassanzadeh, Meraj, et al.
Published: (2025)

Intelligent Optimization of Multi-Parameter Micromixers Using a Scientific Machine Learning Framework
by: Hassanzadeh, Meraj, et al.
Published: (2025)

Equation Discovery, Parametric Simulation, and Optimization Using the Physics-Informed Neural Network (PINN) Method for the Heat Conduction Problem
by: Ghaderi, Ehsan, et al.
Published: (2025)

A Decompositional Approach for Two‐Dimensional, Two‐Phase, Nonlinear Inverse Stefan Problems Using the Method of Fundamental Solutions
by: Gujji Murali Mohan Reddy, et al.
Published: (2026)

Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems
by: Chang, Che-Chia, et al.
Published: (2025)

A Novel Mathematical Model for Hearing Disability: Dynamics, Equilibrium Analysis, and Stability
by: Ibrahim Al-Dayel, et al.
Published: (2025)

Hydrodynamics of Multi-Species Driven Diffusive Systems with Open Boundaries: A Two-Tasep Study
by: Zahra, Ali
Published: (2025)

Cooper: A Library for Constrained Optimization in Deep Learning
by: Gallego-Posada, Jose, et al.
Published: (2025)

Parametric and inverse analysis of flow inside an obstructed channel under the influence of magnetic field using physics informed neural networks
by: Ghaderi, Ehsan, et al.
Published: (2024)

Evaluating Joule heating influence on heat transfer and entropy generation in MHD channel flow: A parametric study and ill-posed problem solution using PINNs
by: Ghaderi, Ehsan, et al.
Published: (2024)

Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence
by: Jahaninasab, Mahyar, et al.
Published: (2023)

On Phase Transition of Two-Dimensional Topological Gravity
by: Zhou, Jian
Published: (2024)

A Morphology-Adaptive Random Feature Method for Inverse Source Problem of the Helmholtz Equation
by: Hu, Xinwei, et al.
Published: (2025)

Continuous Approach to Phase (Norm) Retrieval Frames
by: Farshchian, Ramin, et al.
Published: (2025)

Effects of Spatial Curvature on Blackbody Radiation: Modifications to Energy Distribution and Fundamental Laws
by: Kourkinejat, Somayeh, et al.
Published: (2025)

Toward a Physical Interpretation of Phase Field Models with Dynamic Boundary Conditions
by: Jing, Xiaobo, et al.
Published: (2025)

Modeling and Simulation of Coupled Biochemical and Two-Phase Compositional Flow in Underground Hydrogen Storage
by: Ahmed, Elyes, et al.
Published: (2025)

Quantum Phase diagrams and transitions for Chern topological insulators
by: Kaufmann, Ralph M., et al.
Published: (2025)

Revising the Structure of Recurrent Neural Networks to Eliminate Numerical Derivatives in Forming Physics Informed Loss Terms with Respect to Time
by: Jahani-nasab, Mahyar, et al.
Published: (2024)

Physics-Informed Deep Learning of Rate-and-State Fault Friction
by: Rucker, Cody, et al.
Published: (2023)

Phase-IDENT: Identification of Two-phase PDEs with Uncertainty Quantification
by: Yang, Edward L., et al.
Published: (2026)

Inverse Stefan problems of determining the time-dependent source coefficient and heat flux function
by: Nauryz, Targyn A., et al.
Published: (2025)

A Unified Framework for Locally Stable Phases
by: Li, Zhi, et al.
Published: (2026)

Set‐theoretically perfect ideals and residual intersections
by: S. Hamid Hassanzadeh
Published: (2025)

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
by: Zang, Yaohua, et al.
Published: (2025)

A Twisted sl_2(C) Isomonodromic-Isospectral Correspondence
by: Alameddine, Mohamad
Published: (2025)

A Thermodynamically Consistent Phase-Field Model and an Entropy Stable Numerical Method for Simulating Two-Phase Flows with Thermocapillary Effects
by: Sun, Yanxiao, et al.
Published: (2024)

Continual Learning as a Multiphase Moving-Boundary Problem
by: Khilar, Snigdha Chandan
Published: (2026)

Conformally related invariant $(α,β)$-metrics on homogeneous spaces
by: Fatahi, Azar, et al.
Published: (2022)

Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
by: Nehma, George, et al.
Published: (2024)

Entropy Production in Non-Gaussian Active Matter: A Unified Fluctuation Theorem and Deep Learning Framework
by: Huang, Yuanfei, et al.
Published: (2025)

Quantum-Classical Hybrid Algorithm for Solving the Learning-With-Errors Problem on NISQ Devices
by: Zheng, Muxi, et al.
Published: (2024)

Quantum Approaches to the Minimum Edge Multiway Cut Problem
by: Abbassi, Ali, et al.
Published: (2026)

Resonance-Driven Intermittency and Extreme Events in Turbulent Scalar Transport with a Mean Gradient
by: Mohamad, Mustafa A, et al.
Published: (2025)

A Unified Linear Algebraic Framework for Physical Models and Generalized Contextuality
by: Shahandeh, Farid, et al.
Published: (2025)

On the Uniqueness and Orbital Stability of Slow and Fast Solitary Wave Solutions of the Benjamin Equation
by: Abdallah, May, et al.
Published: (2024)

Resource Marginal Problems
by: Hsieh, Chung-Yun, et al.
Published: (2022)

Second Quantization for the Kepler Problem
by: Baez, John C.
Published: (2025)

The Optimal Reduction of a 2-Body Problem in R^3
by: Cendra, Hernán, et al.
Published: (2024)

Two-dimensional Fireballs as a Lagrangian Ermakov System
by: Haas, Fernando
Published: (2024)