Imagen de Portada

Analytical and Neural Network Approaches for Solving Two-Dimensional Nonlinear Transient Heat Conduction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tao, Ze, Liu, Fujun, Li, Jinhua, Chen, Guibo
Formato:	Preprint
Publicado:	2025
Materias:	Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Unified Benchmark Study of Shock-Like Problems in Two-Dimensional Steady Electrohydrodynamic Flow Based on LSTM-PINN
por: Lin, Chao, et al.
Publicado: (2026)

Residual Attention Physics-Informed Neural Networks for Robust Multiphysics Simulation of Steady-State Electrothermal Energy Systems
por: Zhou, Yuqing, et al.
Publicado: (2026)

A Residual-Attention Physics-Informed Neural Network for Irregular Interfaces and Multi-Peak Transport Fields
por: Zhou, Baitong, et al.
Publicado: (2026)

A Unified Symmetry-Constrained Framework for Band Inversions in Photonic Crystals with $C_n$ Symmetry
por: Tao, Ze, et al.
Publicado: (2025)

LSTM-PINN for Steady-State Electrothermal Transport: Preserving Multi-Field Consis tency in Strongly Coupled Heat and Fluid Flow
por: Zhou, Yuqing, et al.
Publicado: (2026)

Theory of Transient Heat Conduction
por: Crawford, David E., et al.
Publicado: (2024)

PICS: A Partition-of-unity Information-geometric Certified Solver for Coupled Partial Differential Equations
por: Tao, Ze, et al.
Publicado: (2026)

Integrable construction of a two-dimensional lattice model with anisotropic Hubbard couplings
por: Tao, Ze, et al.
Publicado: (2025)

Computing Nonequilibrium Transport from Short-Time Transients: From Lorentz Gas to Heat Conduction in One Dimensional Chains
por: Carbone, Davide, et al.
Publicado: (2026)

Bias Inheritance in Neural-Symbolic Discovery of Constitutive Closures Under Function-Class Mismatch
por: Liang, Hanbing, et al.
Publicado: (2026)

Learnable Viscosity Modulation in Physics-Informed Neural Networks for Incompressible Flow Reconstruction
por: Xu, Ke, et al.
Publicado: (2026)

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

Freeze-in Warm Dark Matter via Dimension-6 Operators in 3-3-1 Models
por: Liu, Fuwei, et al.
Publicado: (2026)

Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
por: Zhou, Chuyu, et al.
Publicado: (2025)

Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics
por: List, Bjoern, et al.
Publicado: (2024)

Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
por: Iyer, Narayan S, et al.
Publicado: (2025)

Optical Neural Networks from Coherent Transient Dynamics in Waveguide QED
por: Cao, Jiande, et al.
Publicado: (2026)

Modeling Heat Conduction with Dual-Dissipative Variables: A Mechanism-Data Fusion Method
por: Chen, Leheng, et al.
Publicado: (2022)

Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
por: Lee, Myeong-Su, et al.
Publicado: (2024)

Physics-Driven Neural Network for Solving Electromagnetic Inverse Scattering Problems
por: Du, Yutong, et al.
Publicado: (2025)

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
por: Zhai, Jucai, et al.
Publicado: (2026)

The Method of Simultaneous Solutions Applied to Neutron Transport and Heat Conduction
por: Price, Dean, et al.
Publicado: (2026)

Quantum Homotopy Algorithm for Solving Nonlinear PDEs and Flow Problems
por: Bharadwaj, Sachin S., et al.
Publicado: (2025)

Heat Conduction and Energy Relaxation in an InAs Nanowire Approaching the Clean One-Dimensional Limit
por: Haldar, Subhomoy, et al.
Publicado: (2026)

Physics-Informed Neural Networks for Solving Derivative-Constrained PDEs
por: Hoshisashi, Kentaro, et al.
Publicado: (2026)

Energy-Embedded Neural Solvers for One-Dimensional Quantum Systems
por: Wu, Yi-Qiang, et al.
Publicado: (2025)

Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media
por: Nohra, Michel, et al.
Publicado: (2024)

Quantum Neural Networks for Solving Power System Transient Simulation Problem
por: Soltaninia, Mohammadreza, et al.
Publicado: (2024)

From Mesh to Neural Nets: A Multi-Method Evaluation of Physics-Informed Neural Networks and Galerkin Finite Element Method for Solving Nonlinear Convection-Reaction-Diffusion Equations
por: Hasan, Fardous, et al.
Publicado: (2024)

A Time-Domain Method of Auxiliary Sources for Efficient Analysis of Transient Electromagnetic Scattering by Moderately Conductive Cylinders
por: Kouroublakis, Minas, et al.
Publicado: (2025)

Biorthogonal Neural Network Approach to Two-Dimensional Non-Hermitian Systems
por: Solinas, Massimo, et al.
Publicado: (2025)

Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
por: Rao, Xiang, et al.
Publicado: (2025)

Solving Schrödinger Equation Using Tensor Neural Network
por: Liao, Yangfei, et al.
Publicado: (2022)

Higher-Order-Phonon Scattering Governs Targeted Control of Heat Conduction in Bulk Boron Arsenide
por: Li, Tianhao, et al.
Publicado: (2025)

Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
por: Zhou, Chuyu, et al.
Publicado: (2024)

Piezoelectric Manipulation and Engineering for Layertronics in Two-Dimensional Materials
por: Tian, Jianke, et al.
Publicado: (2024)

Analytic Convolutional Layer: A Step to Analytic Neural Network
por: Cui, Jingmao, et al.
Publicado: (2024)

Quantum Variational Solving of Nonlinear and Multi-Dimensional Partial Differential Equations
por: Sarma, Abhijat, et al.
Publicado: (2023)

Conductive Heat Flux Driven by a Pressure Gradient in Non-Maxwellian Reference States
por: Shim, Jae Wan
Publicado: (2026)

Modeling Dynamic Gas-Liquid Interfaces in Underwater Explosions Using Interval-Constrained Physics-Informed Neural Networks
por: Xing, Fulin, et al.
Publicado: (2025)