Queryable Sector Flow Fields

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Correcting CondOT: Exact Finite-Step Sampling in Gaussian Flow Matching

    Sep 30, 2026Ron Levy, Michael EladConditional Flow MatchingRejection Sampling

    Department of Computer Science Technion, Israel

  2. Learning to Explore Hidden Kinematics for Articulated Object Manipulation

    Sep 29, 2026Ruiyao Liu, Boshu Lei, Zhuoyang Pan +1Articulated KinematicsReal-World Manipulation Tasks

    GRASP Lab, University of Pennsylvania, Philadelphia, PA 19104, USA

  3. Underwater Navigation in Unsteady Flows Using Measurement Histories from a Single Sensing Unit

    Sep 22, 2026Linhao Jin, Qimin Feng, Peter Gunnarson +1Queryable Sector Flow FieldsConditional Velocity

    School of Engineering, Brown University, Providence, RI, USA

  4. Reproducible macroscopic dynamics in a closed-loop human-AI learning system

    Aug 31, 2026Minlin Wu, Xu Fang, Yicheng Zhang +2Learning DynamicsLatent Trajectories

    Tianli Qiming AI Research Institute, Sichuan Qiming Daren Technology Co., Ltd., Chengdu, China · Swiss AI Laboratories, Blonay, Switzerland

  5. Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning

    Aug 4, 2026Ghadeer Elmkaiel, Michael MuehlebachAerodynamicsQueryable Sector Flow Fields

    Learning and Dynamical Systems group at Max Planck Institute for Intelligent Systems, Tübingen 72076, Germany

  6. Uncertainty-guided active learning for surrogate prediction of stream-finishing wear fields

    Aug 1, 2026Anand Kumar, Puli Saikiran, Vineet Dawara +1Machine Learning SurrogatesQueryable Sector Flow Fields

    Dept. of Design & Manufacturing, Indian Institute of Science, Bangalore · Dept. of Mechanical Engineering, Indian Institute of Science, Bangalore

  7. Write-Safe Flow Field Mapping under Ambiguous Onboard Sensing and Localization Drift

    Jul 30, 2026Linhao Jin, Qimin Feng, Peter Gunnarson +1Queryable Sector Flow FieldsBidirectional Thrust

    Mechanical Engineering Department, Iowa State University, Ames, IA, USA · School of Engineering, Brown University, Providence, RI, USA

  8. CoFL-S: Spatially Queryable Sector Flow Fields for Local Language-Conditioned Navigation

    Jul 2, 2026Haokun Liu, Zhaoqi Ma, Yicheng Chen +5Flow-Matching Vision-Language-ActionVision-Language Navigation

    Dragon Lab, Department of Mechanical Engineering, The University of Tokyo

  9. Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

    Jun 23, 2026Kazuto Ando, Rahul Bale, Akiyoshi Kuroda +1Reduced-Order ModelsVortex

    Operations and Computer Technologies Division, RIKEN Center for Computational Science 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan · Complex Phenomena Unified Simulation Research Team, RIKEN Center for Computational Science, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan · Department of Computational Science, Graduate School of System Informatics, Kobe University, 1-1, Rokkodai-cho, Nada-ku, Kobe, 657-8501, Hyogo, Japan

  10. A fully GPU-based workflow for building physics emulators of hypersonic flows

    Jun 11, 2026Fabian Paischer, Dylan Rubini, Deniz A. Bezgin +6Queryable Sector Flow FieldsEmulators

    ELLIS Unit, Institute for Machine Learning, JKU Linz · EMMI AI, Linz · Chair of Aerodynamics and Fluid Mechanics, TU Munich, Germany

  11. Drifting Models for Surrogate Flow Modeling

    Jun 5, 2026Chris R. Jung, Markus Dörr, Natalie Jüngling +3Computational Fluid DynamicQueryable Sector Flow Fields

    Center for Machine Learning (ZML) 2Institute for Flow in Additively Manufactured Porous Structures (ISAPS) Heilbronn University of Applied Sciences, 74081 Heilbronn, Germany

  12. 3D Underwater Path Planning via Generative Flow Field Surrogates

    Jun 4, 2026Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1Autonomous Underwater VehiclesQueryable Sector Flow Fields

    Flinders University · PrioriAnalytica

  13. Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning

    May 26, 2026Yunfei Liu, Hao Wang, Yuhang Qi +8Computational Fluid DynamicQueryable Sector Flow Fields

    Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, 621000,China. · Laboratory of Digitizing Software for Frontier Equipment,National University of Defense Technology,Changsha,410073,China. · National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha,410073,China. +1

  14. Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach

    May 22, 2026Qian Zhang, George Em KarniadakisQueryable Sector Flow FieldsFluid Dynamics

    Division of Applied Mathematics, Brown University

  15. The impact of observation density on Bayesian inversion of latent dynamics in shock-dominated flows

    May 18, 2026Bipin Tiwari, Muhammad Abid, Omer SanBayesian Inverse ProblemsShock Propagation

    Department of Mechanical and Aerospace Engineering, University of Tennessee, Knoxville Knoxville, TN 37996, USA.

  16. Emergence of a Flow-Assisted Casting Strategy for Olfactory Navigation via Memory-Augmented Reinforcement Learning

    May 16, 2026Changxu Zhao, Dongxiao Zhao, Xin Bian +1SmellsQueryable Sector Flow Fields

    State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China · State Key Laboratory of Fluid Power and Mechatronic Systems, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, People’s Republic of China

  17. FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives

    May 15, 2026Huaxi Huang, Meng Li, Zhengqing Gao +3Queryable Sector Flow FieldsOptimal Sensor Placement

    Shanghai Artificial Intelligence Laboratory · The Hong Kong University of Science and Technology · Mohamed bin Zayed University of Artificial Intelligence +1

  18. High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning

    May 12, 2026Ricard Montalà, Bernat Font, Oriol Lehmkuhl +2AerodynamicsReinforcement Learning Control

    1TUAREG, Universitat Politècnica de Catalunya (UPC), Terrassa, Spain · 2Mechanical Engineering, Delft University of Technology (TU Delft), Delft, Netherlands · 3CASE, Barcelona Supercomputing Center (BSC), Barcelona, Spain +1

  19. Physics-Based Flow Matching for Full-Field Prediction of Silicon Photonic Devices

    May 7, 2026Joseph Quaratiello, Anthony RizzoNanophotonicQueryable Sector Flow Fields

    Thayer School of Engineering, Dartmouth College, Hanover, NH 03755

  20. AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling

    May 7, 2026Francisco Giral, Abhijeet Vishwasrao, Andrea Arroyo Ramo +8AerodynamicsQueryable Sector Flow Fields

    Universidad Politécnica de Madrid · University of Michigan · Universitat Politècnica de València +3

  21. GeoFunFlow-3D: A Physics-Guided Generative Flow Matching Framework for High-Fidelity 3D Aerodynamic Inference over Complex Geometries

    Apr 25, 2026Ruiling Jiang, Yong Zhang, Houbiao LiQueryable Sector Flow FieldsAerodynamics

    School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China

  22. FlowForge: A Staged Local Rollout Engine for Flow-Field Prediction

    Apr 21, 2026Xiaowen Zhang, Ziming Zhou, Fengnian Zhao +1Queryable Sector Flow FieldsSurrogate Models

    Shanghai Jiao Tong University · University of Michigan

  23. Jacobian-Adaptive Weighting for Stability: Enhancing Long-term Rollout of Neural Partial Differential Equation Solvers via Spatially-Adaptive Regularization

    Mar 4, 2026Fengxiang Nie, Yasuhiro SuzukiJacobianNeural Partial Differential Equation Solvers

    University of Hiroshima