Image de couverture de livre

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Perini, Janne, Bischof, Rafael, Arar, Moab, Duran, Ayça, Kraus, Michael A., Mishra, Siddhartha, Bickel, Bernd
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Computational Engineering, Finance, and Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Real-Time Urban Physics Simulations with Digital Twins
par: Bonari, Jacopo, et autres
Publié: (2024)

HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
par: Bischof, Rafael, et autres
Publié: (2025)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
par: Cao, Bokai, et autres
Publié: (2025)

Generative Modeling of Microweather Wind Velocities for Urban Air Mobility
par: Shah, Tristan A., et autres
Publié: (2025)

Discovery of Fatigue Strength Models via Feature Engineering and automated eXplainable Machine Learning applied to the welded Transverse Stiffener
par: Kraus, Michael A., et autres
Publié: (2025)

Dynamical Update Maps for Particle Flow with Differential Algebra
par: Servadio, Simone
Publié: (2025)

Fully Differentiable Ultrasound Simulation Utilizing Ray-Tracing
par: Spencer, L. River, et autres
Publié: (2026)

Wildfire Simulation with Differentiable Randers-Finsler Eikonal Solvers
par: Gahtan, Barak, et autres
Publié: (2026)

Agentic AI for Particle-Based Simulation: Automating SPH Workflows for Debris Flow Modeling
par: Zhang, Danrong, et autres
Publié: (2026)

Development of a New Type of Vortex Bladeless Wind Turbine for Urban Energy Systems
par: Han, Dongkun, et autres
Publié: (2024)

Generalization of Urban Wind Environment Using Fourier Neural Operator Across Different Wind Directions and Cities
par: Chen, Cheng, et autres
Publié: (2025)

Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels
par: Zhao, Chenxi, et autres
Publié: (2025)

Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science
par: Lingsch, Levi, et autres
Publié: (2026)

Algorithm Selection in Short-Range Molecular Dynamics Simulations
par: Newcome, Samuel James, et autres
Publié: (2025)

Dflow-SUR: Enhancing Generative Aerodynamic Inverse Design using Differentiation Throughout Flow Matching
par: Yang, Aobo, et autres
Publié: (2025)

Multi-Physics Inverse Design of Varifocal Optical Devices using Data-Driven Surrogates and Differential Modeling
par: Jin, Zeqing, et autres
Publié: (2025)

Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems
par: Schwarz, Jan Sören, et autres
Publié: (2024)

Conditional Distribution Estimation of Building Characteristics with Diffusion Models for Urban Energy Modeling
par: Sinha, Saumya, et autres
Publié: (2025)

Magnetic Field Conforming Formulations for Foil Windings
par: Denis, Louis, et autres
Publié: (2025)

AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation
par: Zou, Junhong, et autres
Publié: (2026)

Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
par: Bhatnagar, Saakaar, et autres
Publié: (2023)

The Power of Small LLMs in Geometry Generation for Physical Simulations
par: Shafiq, Ossama, et autres
Publié: (2025)

DEWP: Deep Expansion Learning for Wind Power Forecasting
par: Fan, Wei, et autres
Publié: (2024)

Benchmarking formalisms for dynamic structure system Modeling and Simulation
par: Attia, Aya, et autres
Publié: (2024)

The Multiple Time-Stepping Method for 3-Body Interactions in High Performance Molecular Dynamics Simulations
par: Martin, David, et autres
Publié: (2025)

A Two-Phase Flow Solver with Variable Liquid Compressibility and Temperature Equation for Partitioned Simulation of Elastohydrodynamic Lubrication
par: Delaissé, Nicolas, et autres
Publié: (2024)

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning
par: Farsi, Ado, et autres
Publié: (2025)

Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding
par: Mishra, Akshansh
Publié: (2025)

Universal Differential Equations as a Common Modeling Language for Neuroscience
par: ElGazzar, Ahmed, et autres
Publié: (2024)

Physics-Enforced Neural Ordinary Differential Equation for Chemical Kinetics Optimization in Reaction-Diffusion Systems
par: Cai, Feixue, et autres
Publié: (2026)

Modeling and Simulation of Inelastic Effects in Composite Cables
par: Manfredo, Davide, et autres
Publié: (2024)

Accelerated Patient-Specific Hemodynamic Simulations with Hybrid Physics-Based Neural Surrogates
par: Rubio, Natalia L., et autres
Publié: (2026)

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
par: Farea, Afrah, et autres
Publié: (2025)

Energy-based, geometric, and compositional formulation of fluid and plasma models
par: Lohmayer, Markus, et autres
Publié: (2024)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
par: Du, Jian, et autres
Publié: (2024)

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
par: Meshram, Ganesh Sahadeo, et autres
Publié: (2026)

RIS-aided Trajectory Optimization in Layered Urban Air Mobility
par: Xiong, Kai, et autres
Publié: (2024)

Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
par: Razouk, Houssam, et autres
Publié: (2024)

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
par: Lin, Zhongya, et autres
Publié: (2025)

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
par: Markidis, Stefano, et autres
Publié: (2025)