Saved in:
| Main Authors: | Zhang, Weizheng, Xie, Xunjie, Pan, Hao, Duan, Xiaowei, Sun, Bingteng, Du, Qiang, Lu, Lin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.08465 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
by: Xiao, Renjie, et al.
Published: (2026)
by: Xiao, Renjie, et al.
Published: (2026)
Research on the Spatiotemporal Evolution and Spatial Spillover Effects of Carbon Emission Efficiency Under the Background of “Dual Carbon”: Empirical Evidence From Panel Data of Chinese Provinces
by: Bingteng Sun
Published: (2026)
by: Bingteng Sun
Published: (2026)
DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design
by: Zhang, Weizheng, et al.
Published: (2025)
by: Zhang, Weizheng, et al.
Published: (2025)
Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
by: Su, Zijie, et al.
Published: (2024)
by: Su, Zijie, et al.
Published: (2024)
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)
by: Hassanzadeh, Meraj, et al.
Published: (2025)
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement
by: Yao, Jixun, et al.
Published: (2024)
by: Yao, Jixun, et al.
Published: (2024)
Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies
by: Kumar, Prashant, et al.
Published: (2026)
by: Kumar, Prashant, et al.
Published: (2026)
Flow-Aware Navigation of Magnetic Micro-Robots in Complex Fluids via PINN-Based Prediction
by: Jia, Yongyi, et al.
Published: (2025)
by: Jia, Yongyi, et al.
Published: (2025)
Spectral Informed Neural Network: An Efficient and Low-Memory PINN
by: Yu, Tianchi, et al.
Published: (2024)
by: Yu, Tianchi, et al.
Published: (2024)
RoPINN: Region Optimized Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2024)
by: Wu, Haixu, et al.
Published: (2024)
WellPINN: Accurate Well Representation for Transient Fluid Pressure Diffusion in Subsurface Reservoirs with Physics-Informed Neural Networks
by: Walter, Linus, et al.
Published: (2025)
by: Walter, Linus, et al.
Published: (2025)
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting
by: Nguyen, Thang, et al.
Published: (2024)
by: Nguyen, Thang, et al.
Published: (2024)
Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
by: Farea, Afrah, et al.
Published: (2025)
by: Farea, Afrah, et al.
Published: (2025)
Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction
by: Paliathanasis, Andronikos
Published: (2026)
by: Paliathanasis, Andronikos
Published: (2026)
ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2025)
by: Wu, Haixu, et al.
Published: (2025)
Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds
by: Chrisnanto, Julian Evan, et al.
Published: (2025)
by: Chrisnanto, Julian Evan, et al.
Published: (2025)
Physics-Informed Neural Network Approaches for Sparse Data Flow Reconstruction of Unsteady Flow Around Complex Geometries
by: Malineni, Vamsi Sai Krishna, et al.
Published: (2025)
by: Malineni, Vamsi Sai Krishna, et al.
Published: (2025)
Coupling of the Finite Element Method with Physics Informed Neural Networks for the Multi-Fluid Flow Problem
by: Nohra, Michel, et al.
Published: (2024)
by: Nohra, Michel, et al.
Published: (2024)
Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
$PINN - a Domain Decomposition Method for Bayesian Physics-Informed Neural Networks
by: Figueres, Júlia Vicens, et al.
Published: (2025)
by: Figueres, Júlia Vicens, et al.
Published: (2025)
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
by: Wong, Jian Cheng, et al.
Published: (2025)
by: Wong, Jian Cheng, et al.
Published: (2025)
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks
by: Zeng, Chengxi, et al.
Published: (2024)
by: Zeng, Chengxi, et al.
Published: (2024)
SeparationPINN: Physics-Informed Neural Networks for Seismic P- and S-Wave Mode Separation
by: Mu, Xinru, et al.
Published: (2025)
by: Mu, Xinru, et al.
Published: (2025)
PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
by: Farkane, Ayoub, et al.
Published: (2025)
by: Farkane, Ayoub, et al.
Published: (2025)
EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
by: Lim, Hansol, et al.
Published: (2024)
by: Lim, Hansol, et al.
Published: (2024)
Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
by: Chiu, Pao-Hsiung, et al.
Published: (2026)
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks
by: Anticev, John, et al.
Published: (2024)
by: Anticev, John, et al.
Published: (2024)
A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs
by: Kathane, Shivprasad, et al.
Published: (2024)
by: Kathane, Shivprasad, et al.
Published: (2024)
Weak Physics Informed Neural Networks for Geometry Compatible Hyperbolic Conservation Laws on Manifolds
by: Zhou, Hanfei, et al.
Published: (2025)
by: Zhou, Hanfei, et al.
Published: (2025)
Geometry-Informed Neural Networks
by: Berzins, Arturs, et al.
Published: (2024)
by: Berzins, Arturs, et al.
Published: (2024)
Using Physics Informed Neural Network (PINN) and Neural Network (NN) to Improve a $k-ω$ Turbulence Model
by: Davidson, Lars
Published: (2025)
by: Davidson, Lars
Published: (2025)
Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics
by: Li, Haolin, et al.
Published: (2024)
by: Li, Haolin, et al.
Published: (2024)
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
by: Phan-Trong, Dat, et al.
Published: (2024)
by: Phan-Trong, Dat, et al.
Published: (2024)
fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations
by: Lu, Binghang, et al.
Published: (2026)
by: Lu, Binghang, et al.
Published: (2026)
Physics-Informed Neural Networks for Weakly Compressible Flows Using Galerkin-Boltzmann Formulation
by: Aygun, Atakan, et al.
Published: (2024)
by: Aygun, Atakan, et al.
Published: (2024)
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)
by: Zhou, Yuqing, et al.
Published: (2026)
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers
by: Wang, Xing, et al.
Published: (2024)
by: Wang, Xing, et al.
Published: (2024)
PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks
by: Sobh, Nahil, et al.
Published: (2025)
by: Sobh, Nahil, et al.
Published: (2025)
naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement
by: Kim, Hankyeol, et al.
Published: (2026)
by: Kim, Hankyeol, et al.
Published: (2026)
TE-PINN: Quaternion-Based Orientation Estimation using Transformer-Enhanced Physics-Informed Neural Networks
by: Golroudbari, Arman Asgharpoor
Published: (2024)
by: Golroudbari, Arman Asgharpoor
Published: (2024)
Similar Items
-
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
by: Xiao, Renjie, et al.
Published: (2026) -
Research on the Spatiotemporal Evolution and Spatial Spillover Effects of Carbon Emission Efficiency Under the Background of “Dual Carbon”: Empirical Evidence From Panel Data of Chinese Provinces
by: Bingteng Sun
Published: (2026) -
DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design
by: Zhang, Weizheng, et al.
Published: (2025) -
Finite Volume Physical Informed Neural Network (FV-PINN) with Reduced Derivative Order for Incompressible Flows
by: Su, Zijie, et al.
Published: (2024) -
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)