Reduced-Order Modeling

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8 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. From Redundancy to Minimality: Fixed-Point-Guided Hierarchical Reduction of Learned Piecewise-Linear Dynamics

    Oct 1, 2026Hiroto Tamura, Gouhei TanakaDynamical SystemsNonlinear System Identification

    Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan · International Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, Japan · Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan

  2. Evaluating Hybrid Quantum-Classical Models for Reduced-Order Brain Deformation Dynamics

    Sep 30, 2026Tao Liu, Ge He, Dongyu Liang +1Time Series ForecastingProper Orthogonal Decomposition

    Lawrence Technological University · North Carolina State University

  3. Adaptive hybrid coupling with operator inference, the overlapping Schwarz alternating method and reinforcement learning

    Sep 15, 2026Trishit Mondal, Irina Tezaur, Anthony GruberReinforcement LearningPDE Surrogate Modeling

    Worcester Polytechnic Institute

  4. High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics

    Sep 15, 2026Diana A. BistrianNeural Surrogate ModelingReduced-Order Modeling

    University Politehnica Timisoara, Department of Electrical Engineering and Industrial Informatics, Romania

  5. Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning

    Sep 14, 2026Ashwin Suriyanarayanan, Romit MaulikData AssimilationReduced-Order Modeling

    School of Mechanical Engineering, Purdue University, West Lafayette, IN-47906

  6. Linearized PINN with pretrained nonlinear layers

    Sep 14, 2026Wenhao Chen, Alexandre M. TartakovskyEfficient Neural Network InferencePDE Solving

    Civil and Environmental Engineering Department University of Illinois Urbana-Champaign Urbana, IL 61801, USA · Pacific Northwest National Laboratory Richland, WA 99352, USA

  7. Floquet Fibre Geometry and Higher-Order Reduced Coordinates for Off-Manifold Transients near Nonlinear Aeroelastic Flutter

    Sep 13, 2026Puxue TanDynamical SystemsReduced-Order Modeling

    William Wright Technology Centre (W-Tech) School of Mechanical & Aerospace Engineering Queen’s University Belfast 50 Malone Road, Belfast, BT9 5BS, United Kingdom

  8. Two-Scale Localized PCA-Net: Coarse-Global and Local-Residual Representations for Artifact-Reduced PDE Operator Learning

    Sep 7, 2026Mrigank Dhingra, Jordan Stout, Omer SanPrincipal Component AnalysisReduced-Order Modeling

    Department of Mechanical & Aerospace Engineering University of Tennessee Knoxville, Tennessee 37917, USA · Department of Mathematics and Statistics Boston University Boston, Massachusetts 02215, USA

  9. Physics-informed reduced-order modelling with equivariant spectral submanifolds

    Aug 4, 2026Georg MaierhoferReduced-Order ModelingScientific ML

    Department of Applied Mathematics and Theoretical Physics · University of Cambridge, UK

  10. Conformal risk control for model-form uncertainty in parametric non-intrusive reduced-order models

    Aug 4, 2026Edgar Jaber, Rémy Vallot, Thibault Dairay +1Uncertainty QuantificationPDE Surrogate Modeling

    CB, ENS Paris Saclay · Université Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli, Gif-sur-Yvette, 91190, France · CB, Michelin +3

  11. Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem

    Jul 29, 2026Anton Myshak, Md Rezwan Bin Mizan, Ilya TimofeyevPDE Surrogate ModelingReduced-Order Modeling

    Dept. of Mathematics, University of Houston, Houston, TX 77204

  12. Origins and mitigation of double descent in reduced order modeling

    Jul 29, 2026Andrei A. Klishin, J. Nathan Kutz, Krithika ManoharDouble DescentSparse Recovery

    Department of Mechanical Engineering, University of Hawai‘ i at M¯anoa, Honolulu, HI · AI Institute in Dynamic Systems, University of Washington, Seattle, WA 98195, USA · Departments of Applied Mathematics and Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA +1

  13. The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

    Jul 27, 2026Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1Variational AutoencodersLatent Dynamics Modeling

    Sub-directorate general of aeronautical systems, Spanish National Institute for Aerospace Technology (INTA), ctra. M-301, km. 10.5, 28330 San Mart´ın de la Vega, Madrid, Spain. · Departamento de Ingenier´ıa Aeroespacial, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan´es, Madrid, Spain. · Department of Mechanical Engineering, University of Washington, 1410 NE Campus Parkway, Seattle, WA 98195, USA.

  14. Real-time optimal control with shallow recurrent decoder networks

    Jul 21, 2026Matteo Tomasetto, Francesco Braghin, J. Nathan Kutz +1Recurrent Neural NetworksReduced-Order Modeling

    Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy · Autodesk Research, London, UK · MOX - Department of Mathematics, Politecnico di Milano, Milano, Italy

  15. A Reinforcement-Learning-Augmented Liquid-Fueled Reactor Network Model for Predicting Lean Blowout in Gas Turbine Combustors

    Jul 21, 2026Philip John, Eloghosa Ikponmwoba, Pinaki Pal +1Reinforcement LearningReduced-Order Modeling

    Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA 70803, USA · 2Transportation and Power Systems Division Argonne National Laboratory, 9700 S. Cass Ave, Lemont, IL 60439, USA

  16. Multi-Scale Equilibrium under Variable Indicator Dimensionality: Faithful Reduction of Dynamic Attractors in Urban Mobility Systems

    Jul 16, 2026Ali Ghoroghi, Yacine Rezgui, Afrouz Ghaemi +2Dynamical SystemsIntelligent Transportation Systems

    School of Engineering, Cardiff University, Cardiff, United Kingdom

  17. A Multi-Agent Framework for Zero-Dimensional Reduced-Order Model Planning

    Jul 13, 2026Bingteng Sun, Hao Yin, Yiling Chen +9Combinatorial OptimizationReduced-Order Modeling

    Advanced Gas Turbine Laboratory, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, 100190, China. · National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine, Beijing, 100190, China. · School of Computer Science and Technology, Shandong University, 72 Binhai Road, Qingdao, 266237, Shandong Province, China. +3

  18. Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests

    Jul 5, 2026Anis Hamadouche, Amir HussainReduced-Order ModelingNeural Network Compression

    The School of Engineering & Physical Sciences Heriot-Watt University Edinburgh EH14 4AS, UK · SDAIA-KFUPM Joint Research Centre for Artificial Intelligence King Fahd University of Petroleum and Minerals Dhahran, Saudi Arabia

  19. Reduced-Order Models: The Mother of World Models

    Jul 3, 2026Rajat GhoshWorld ModelsAction-Conditioned World Models

    Independent Researcher

  20. In-context learning from self-generated trajectories for adaptive model reduction

    Jul 3, 2026Amirpasha Hedayat, Laura Balzano, Karthik DuraisamyIn-Context LearningReduced-Order Modeling

    Department of Aerospace Engineering · Michigan Institute for Computational Discovery and Engineering, University of Michigan, Ann Arbor, MI, USA · Department of Electrical Engineering and Computer Science

  21. An Optimal Contact-Mechanically Consistent and Flow-Separation Adapted Modeling of Vocal Fold Dynamics

    Jun 27, 2026Sardar Nafis Bin Ali, Maryam Naghibolhosseini, Mohsen ZayernouriReduced-Order ModelingPhysics-Based Simulation

    Department of Mechanical Engineering, Michigan State University, 428 S. Shaw Lane, East Lansing, 48824, MI, USA. · Department of Communicative Sciences and Disorders, Michigan State University, 1026 Red Cedar Rd, East Lansing, 48824, MI, USA.

  22. Reduction of Probabilistic Chemical Reaction Networks

    Jun 26, 2026Mauricio Montes, Gregoire Sergeant-PerthuisProbabilistic Graphical ModelsReduced-Order Modeling

    COSAM, Auburn University, Auburn, AL, USA · CQSB, Sorbonne Universite, Paris, France

  23. SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning

    Jun 24, 2026Omanshu ThapliyalLong-Context Language ModelingReduced-Order Modeling

    Hitachi America Ltd., Santa Clara, CA, USA.

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

    Jun 23, 2026Kazuto Ando, Rahul Bale, Akiyoshi Kuroda +1Reduced-Order ModelingComputational Fluid Dynamics

    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

  25. A Reduced Order Model for Emergent Mechanics in Woven Systems

    Jun 22, 2026Anvay A. Pradhan, Evgueni T. Filipov, Talia Y. MooreStructural MechanicsMaterials Science

    Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA · Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, 48109, USA · Department of Robotics, University of Michigan, Ann Arbor, Michigan, 48109, USA +1

  26. Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport

    Jun 17, 2026Gabriel F. Barros, Rômulo M. Silva, Alvaro L. G. A. CoutinhoPDE Surrogate ModelingReduced-Order Modeling

    COPPE −Federal University of Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil

  27. Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification

    Jun 10, 2026Handi Zhang, Adrienne M. Propp, Brooks Kinch +2Uncertainty QuantificationPDE Surrogate Modeling

    Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA · Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA · Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA +1

  28. OnlyDense: Reduced-Order Modeling for Lagrangian simulation

    Jun 8, 2026Tu Do, Shannon Ryan, Santu RanaNeural Surrogate ModelingReduced-Order Modeling

    A2I2, Deakin University, Geelong, Victoria, Australia

  29. Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections

    Jun 4, 2026Nicholas Zolman, Sajeda Mokbel, Samuel E. Otto +1Reduced-Order Modeling

    Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA · 2AI Institute in Dynamic Systems, University of Washington, Seattle, WA 98195, USA · 3Sibley School of Mechanical and AerospaceAbstractEngineering, Cornell University, Ithaca, NY, USA

  30. Mamba-Assisted Non-Markovian Closure for Reduced-Order Modeling

    Jun 3, 2026Zhi-Feng Wei, Saad Qadeer, Panos StinisReduced-Order Modeling

    Advanced Computing, Mathematics, and Data Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA · Department of Applied Mathematics, University of Washington, Seattle, WA 98195, USA · Division of Applied Mathematics, Brown University, Providence, RI 02912, USA