Imagen de Portada

Macroscopic transport patterns of UAV traffic in 3D anisotropic wind fields: A constraint-preserving hybrid PINN-FVM approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liang, Hanbing, Liu, Fujun
Formato:	Preprint
Publicado:	2026
Materias:	Computational Engineering, Finance, and Science Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Interpretable long-term traffic modelling on national road networks using theory-informed deep learning
por: Li, Yue, et al.
Publicado: (2026)

Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional network
por: Huang, Haojian
Publicado: (2023)

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
por: Wong, Jian Cheng, et al.
Publicado: (2025)

Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics
por: Li, Haolin, et al.
Publicado: (2024)

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
por: Koopas, Rasoul Najafi, et al.
Publicado: (2024)

Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
por: Rowan, Conor, et al.
Publicado: (2025)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
por: Zhu, Peng, et al.
Publicado: (2024)

Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
por: Amin, Fin, et al.
Publicado: (2024)

ShapeGen3DCP: A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
por: Rizzieri, Giacomo, et al.
Publicado: (2025)

A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems
por: Li, Ming-Jian, et al.
Publicado: (2024)

Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
por: Chiu, Pao-Hsiung, et al.
Publicado: (2026)

Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
por: Deo, Indu Kant, et al.
Publicado: (2024)

WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
por: Lüddecke, Lisa, et al.
Publicado: (2026)

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
por: Hu, Xiuyuan, et al.
Publicado: (2025)

Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
por: He, Xin, et al.
Publicado: (2025)

Assessing the dynamic response of long-span bridges under simultaneous wind and traffic loads
por: Tondo, Gledson Rodrigo, et al.
Publicado: (2026)

Cross-attention-based bipartite graph neural network for coupled nodal and elemental field prediction in large-deformation sheet material forming
por: Zhao, Yingxue, et al.
Publicado: (2026)

Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model
por: Etienam, Clement, et al.
Publicado: (2024)

Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
por: Nair, Siddharth, et al.
Publicado: (2025)

An adaptive network-based approach for advanced forecasting of cryptocurrency values
por: Mehrban, Ali, et al.
Publicado: (2024)

Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
por: Luo, Junliang, et al.
Publicado: (2025)

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
por: Wang, Liang, et al.
Publicado: (2025)

Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems
por: Hernandez, Quercus, et al.
Publicado: (2025)

Deep Reinforcement Learning in Factor Investment
por: Liu, Junlin
Publicado: (2025)

A physics-encoded Fourier neural operator approach for surrogate modeling of divergence-free stress fields in solids
por: Khorrami, Mohammad S., et al.
Publicado: (2024)

Interpreting CFD Surrogates through Sparse Autoencoders
por: Hu, Yeping, et al.
Publicado: (2025)

Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
por: Luo, Junliang, et al.
Publicado: (2025)

SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction
por: Wu, Junfeng, et al.
Publicado: (2025)

A novel k-means clustering approach using two distance measures for Gaussian data
por: Gada, Naitik
Publicado: (2025)

Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
por: Qu, Xinye, et al.
Publicado: (2025)

TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design
por: Hu, Xiuyuan, et al.
Publicado: (2025)

Applications of Machine Learning to Optimizing Polyolefin Manufacturing
por: Sharma, Niket, et al.
Publicado: (2024)

Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure
por: Shatarah, Mohamed, et al.
Publicado: (2025)

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
por: Liu, Dingkun, et al.
Publicado: (2025)

A quantitative analysis of knowledge-learning preferences in large language models in molecular science
por: Liu, Pengfei, et al.
Publicado: (2024)

Integrated Prediction and Multi-period Portfolio Optimization
por: Linghu, Yuxuan, et al.
Publicado: (2025)

Rectified Flow For Structure Based Drug Design
por: Zhang, Daiheng, et al.
Publicado: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
por: Li, Yuante, et al.
Publicado: (2025)

A Pretraining-Finetuning Computational Framework for Material Homogenization
por: Wang, Yizheng, et al.
Publicado: (2024)