:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Chao, Tao, Ze, Liu, Fujun
Format:	Preprint
Published:	2026
Subjects:	Computational Physics
Online Access:	https://arxiv.org/abs/2603.21227
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LSTM-PINN: An Hybrid Method for Prediction of Steady-State Electrohydrodynamic Flow
by: Tao, Ze, et al.
Published: (2025)

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

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

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

Analytical and Neural Network Approaches for Solving Two-Dimensional Nonlinear Transient Heat Conduction
by: Tao, Ze, et al.
Published: (2025)

LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
by: Tao, Ze, et al.
Published: (2025)

xLSTM-PINN: Memory-Gated Spectral Remodeling for Physics-Informed Learning
by: Tao, Ze, et al.
Published: (2025)

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

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

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

An LSTM-PINN Hybrid Method to the specific problem of population forecasting
by: Tao, Ze
Published: (2025)

Study of the Molecular Level Mechanism of Nanoscale Alternating Current Electrohydrodynamic Flow
by: Alosious, Sobin, et al.
Published: (2025)

Macroscopic transport patterns of UAV traffic in 3D anisotropic wind fields: A constraint-preserving hybrid PINN-FVM approach
by: Liang, Hanbing, et al.
Published: (2026)

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

Collision-Based Hybrid Method for Two-Dimensional Neutron Transport Problems
by: Whewell, Ben, et al.
Published: (2025)

On Inverse Problems for Two-Dimensional Steady Supersonic Euler Flows past Curved Wedges
by: Chen, Gui-Qiang G., et al.
Published: (2024)

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

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

Uniqueness of Transonic Shock Solutions for Two-Dimensional Steady Compressible Euler Flows in an Expanding Nozzle
by: Fang, Beixiang, et al.
Published: (2025)

PINN-Based Solution for a Diffusion Controlled Droplet Growth
by: Gol'din, Pavel, et al.
Published: (2026)

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)

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
by: Fuchi, Kazuko W., et al.
Published: (2025)

SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
by: Pan, Cunliang, et al.
Published: (2024)

Convergence Rate of the Hypersonic Similarity for Two-Dimensional Steady Potential Flows with Large Data
by: Chen, Gui-Qiang G., et al.
Published: (2024)

One-Dimensional, One-Phase and Two-Phase Eulerian Explicit Shock Tube Simulation Code
by: Fernández-Godino, M. Giselle
Published: (2024)

Electrohydrodynamic lubrication theory
by: Chatterjee, Anirban, et al.
Published: (2026)

Large-Amplitude Steady Electrohydrodynamic Solitary Waves with Constant Vorticity
by: Feng, Tingting, et al.
Published: (2025)

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

The Solution of Potential-Driven, Steady-State Nonlinear Network Flow Equations via Graph Partitioning
by: Srinivasan, Shriram, et al.
Published: (2025)

Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
by: Wang, Jinhong, et al.
Published: (2026)

Development of grid-based and PINN solvers for electron kinetics in collisional non-thermal plasmas
by: Kolobov, Vladimir, et al.
Published: (2024)

UniPINN: A Unified PINN Framework for Multi-task Learning of Diverse Navier-Stokes Equations
by: Sun, Dengdi, et al.
Published: (2026)

A Unified Multiscale Auxiliary PINN Framework for Generalized Phonon Transport
by: Riganti, Roberto, et al.
Published: (2026)

Numerical Solutions of 2-D Steady Incompressible Driven Cavity Flow at High Reynolds Numbers
by: Erturk, E., et al.
Published: (2004)

A Tensor Network Framework for Lindbladian Spectra and Steady States
by: Westhoff, Philipp, et al.
Published: (2025)

A Tale of Two Shocks
by: Wimmer-Schweingruber, Robert F., et al.
Published: (2025)

Fluctuation-Induced Transitions in Anisotropic Two-Dimensional Turbulence
by: Xu, Lichuan, et al.
Published: (2023)

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

Quadrilateral Particle Arrangement within Shocks in a Two-Dimensional Dusty Plasma
by: Kananovich, Anton, et al.
Published: (2024)

$PT$ Symmetric PINN for integrable nonlocal equations: Forward and inverse problems
by: Peng, Wei-Qi, et al.
Published: (2023)