Neural Surrogate Modeling

Ask about this topic

Overview

Neural surrogate modeling replaces repeated calls to expensive simulators with learned approximations of physical fields, system dynamics, or quantities of interest, making tasks such as design search, control, and Bayesian inference more practical. Common approaches include neural operators for PDE solution maps, graph neural networks for meshes and networks, reduced-order latent models, and physics-informed or hybrid models that combine learned components with governing equations. Researchers also use multi-fidelity training, active learning, and probabilistic models to reduce data needs and estimate uncertainty. A central challenge is that good one-step or in-distribution accuracy does not guarantee stable long rollouts, reliable extrapolation, physical consistency, or improved downstream decisions; classical solvers remain important when stringent accuracy and verification are required.

Latest papers

CardsList

418 papers45 papers in the last four weeks, down 15% on the four weeks before. 0.3% of all new papers.

  1. Surface Conditioning for Zero-Shot Multivariate Correction in a Marine Biogeochemistry Emulator

    Oct 29, 2026Gabriela Martínez Balbontín, Anastase Charantonis, Dominique Béréziat +1Neural Surrogate Modeling

    MOi, PEQUAN · ARCHES · PEQUAN +1

  2. Optimization-based lane-changing trajectory planning in mixed traffic with embedded input convex neural networks

    Oct 28, 2026Yuanxiang Yang, Yu Liu, Fabricio Oliveira +2Motion PlanningAutonomous Driving Planning

    Mobility and Industrial Management (MIM), Faculty of Engineering Science, KU Leuven, Leuven, 3001, Belgium · Department of Built Environment, Aalto University, Espoo, 02150, Finland · Department of Mathematics and Systems Analysis, Aalto University, Espoo, 02150, Finland +2

  3. Application of PDE emulators for a multi-material, multi-physics simulation problem

    Oct 27, 2026Diane Oyen, Morgan Jones, Adithan Kathirgamaraju +19PDE Surrogate ModelingNeural Surrogate Modeling

    Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA

  4. When Black-Box Robot Policies Fail: Online Sensor Diagnosis and Repair with a Transparent Surrogate

    Oct 27, 2026Marc Ziegler, Batu Özen, Sami Mentes +2Fault DiagnosisRobotic Anomaly Detection

    Technical University of Munich · Siemens Mobility

  5. FASST: A Compact Stateless Atmosphere Model for Long-Term Ocean Coupling

    Oct 26, 2026Pratham Aggarwal, Duncan Watson-Parris, William E. ChapmanClimate ModelingClimate Emulation

    University of California San Diego · University of Colorado Boulder

  6. End-to-End Neural Modeling of EM Response and Design Performance for Free-Form RFIC Passives

    Oct 25, 2026Yuhao Mao, Chenhao Chu, Martin Vechev +1Neural Surrogate ModelingSurrogate Modeling

    Department of Computer Science, ETH Zurich, Switzerland · Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland

  7. Performance of Neural Operator Baselines on 'The Well' Dataset

    Oct 25, 2026Yash Pincha, Andy Dimnaku, Andrew Chiang +3Neural OperatorsNeural Surrogate Modeling

  8. An actively trained neural operator for near-explicit atmospheric chemistry

    Oct 24, 2026Zhi-Song Liu, Wenqing Peng, Ammar Kheder +2Neural Surrogate ModelingFourier Neural Operator

    Department of Computational Engineering, LUT University, Finland. · Atmospheric Modelling Center, Lahti (AMC-Lahti), Finland. · Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Finland. +1

  9. Explicit Frictional Contact Modeling in Neural Garment Simulation

    Oct 24, 2026Thanh-Nguyen Truong, Vu-Hoang Tran, Ching-Chun HuangDeformable Object SimulationNeural Surrogate Modeling

    National Yang Ming Chiao Tung University, Taiwan · Ho Chi Minh City University of Technology and Engineering, Vietnam

  10. NN-Based Transistor Modeling for Ultra-Fast SPICE Simulation and Standard Cell Library Characterization

    Oct 22, 2026Rodion Novkin, Hussam AmrouchNeural Surrogate ModelingElectronic Design Automation

    Technical University of Munich; TUM School of Computation, Information and Technology; Chair of AI Processor Design; Munich Institute of Robotics and Machine Intelligence, Munich, Germany

  11. Tractable Inference with Kolmogorov-Arnold Networks

    Oct 21, 2026Juan Diego Toscano, Sascha Ranftl, Zhiwei Gao +2Kolmogorov-Arnold NetworksNeural Surrogate Modeling

    Division of Applied Mathematics, Brown University, Providence, 02912, RI, USA · Division of Mathematical Sciences, Nanyang Technological University, 637371, Singapore

  12. STAR-XPC: Set Transformer for Estimating X-ray Transmission in Polymer Composites

    Oct 20, 2026Can Erer, H. Birkan Yilmaz, Nebahat AralNeural Surrogate ModelingMaterials Science

    Department of Computer Engineering, Bo˘gaziçi University, Bebek, 34342, Istanbul, Turkiye · Independent Researcher, Istanbul, Turkiye

  13. A Probabilistic, Rotation-Preserving Kernel Operator Surrogate for Continuum-Robot Design Spaces

    Oct 19, 2026Branden Frieden, Alan Kuntz, Varun ShankarNeural Surrogate ModelingContinuum Robot Design

    The Kahlert School of Computing at the University of Utah, Salt Lake City, UT 84112, USA. · The Departments of Computer Science and Electrical and Computer Engineering at Vanderbilt University, Nashville, TN, 37203, USA.

  14. Enhancing analytical photon transport in turbid media through physics-guided neural network corrections

    Oct 17, 2026Guojun Tang, Paul D. Teal, Alexander DoroninRadiative TransferNeural Surrogate Modeling

    Victoria University of Wellington, School of Engineering and Computer Science, Wellington, New Zealand

  15. Sequence-to-Sequence Neural Surrogate Modeling of Transient Responses in High-Speed Links with Variable Design Parameters

    Oct 16, 2026Julian Withöft, Shayan Ghanbari, Werner John +3Neural Surrogate ModelingSequence-to-Sequence Models

    Information Processing Lab, Faculty for Electrical Engineering and Information Technology, TU Dortmund, Germany · Pyramide2525, Paderborn, Germany and the Information Processing Lab, Faculty for Electrical Engineering and Information Technology, TU Dortmund, Germany · EMC Technology Center Paderborn, Zuken GmbH, Paderborn, Germany

  16. Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework

    Oct 16, 2026Hager Radi Abdelwahed, Toluwaleke Olutayo, Chirag Goel +7Surrogate ModelingNeural Surrogate Modeling

    Mila: Quebec AI Institute · Natural Resources Canada - Canadian Forest Services

  17. De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins

    Oct 15, 2026Zhou Daniel Hao, Umer Masood Chaudry, Robert Shaw +4Digital TwinsSpace Robotics

    DANiLab, University of Leicester, Leicester, United Kingdom · School of Computing and Mathematical Sciences, University of Leicester, Leicester, United Kingdom · TWI Ltd, United Kingdom +1

  18. Machine-learning-based neutrino-event generation constrained by experimental measurements

    Oct 14, 2026Jose Luis Bonilla, Krzysztof M. Graczyk, Rwik Dharmapal Banerjee +3High-Energy PhysicsConstrained Generative Modeling

    Institute of Theoretical Physics, University of Wrocław, plac Maxa Borna 9, 50-204, Wrocław, Poland

  19. The Physics Is the Network: Fast, Training-Free Neural Emulation

    Oct 14, 2026Luka Todorovic, Kaushal Gianchandani, Sai RavelaNeural PDE SolversNeural Surrogate Modeling

    Department of Mathematics and Department of Statistics, University of Michigan, Ann Arbor, MI · NASA Postdoctoral Program Fellow, NASA Goddard Institute for Space Studies, New York, NY · Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA

  20. Two-stage Residual Learning for Modelling Strength-Informed Optimisation of Thermal Systems

    Oct 14, 2026Talha Ansar, Waqar Muhammad Ashraf, Abdulelah S. Alshehri +1Surrogate ModelingSurrogate-Assisted Optimization

    Department of Mechanical Engineering, University of Engineering and Technology Lahore, Kala Shah Kaku, Pakistan · The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, London, UK · Department of Chemical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia +3

  21. Deep Mesoscopic Dynamics

    Oct 13, 2026Yue Zhao, Shiqi Wu, Yihang Ouyang +6Neural Surrogate Modeling

    Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore · Department of Mathematics, National University of Singapore, Singapore 117543, Singapore · Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore +3

  22. Compute-optimal data scaling for neural surrogates via multi-fidelity training

    Oct 12, 2026Paul Setinek, Fabian Paischer, Nils Thuerey +2Neural Surrogate ModelingPDE Surrogate Modeling

    Institute for Machine Learning, JKU Linz · Mistral AI · Technical University of Munich +1

  23. SPLICE: Sparse Physics Library Identification and Compositional Expansion

    Oct 12, 2026Lucas Thil, Jesse Read, Guillaume Doquet +1PDE Operator LearningNeural Operators

    LIX, ´Ecole Polytechnique · IRT SystemX · Safran Tech

  24. FEM-Validated Real-Time Modelling of Soft Tactile Deformation

    Oct 12, 2026Silvia Terrile, Kaichen Shi, Taejun Kwon +5Deformable Object SimulationNeural Surrogate Modeling

    School of Engineering Mathematics and Technology, University of Bristol, UK. · Graduate School of Data Science, Kyungpook National University, Daegu, South Korea. · Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea.

  25. Probabilistic Simulation of Gas-Liquid Interfaces with Coupled Flow Matching on Spherical Harmonics

    Oct 12, 2026Kiet Bennema ten Brinke, Rachna Ramesh, Douwe Orij +2Neural Surrogate ModelingComputational Fluid Dynamics

    Department of Mathematics and Computer Science, Eindhoven University of Technology · Department of Chemical Engineering and Chemistry, Eindhoven University of Technology

  26. Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models

    Oct 11, 2026Qi Chen, Peng Zhan, Hongxing Cui +2Sensitivity AnalysisNeural Surrogate Modeling

    Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. · Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China. · Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

  27. Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification

    Oct 10, 2026Christian SoizePhysics-Informed MLUncertainty Quantification

    Université Gustave Eiffel, MSME UMR 8208, 5 bd Descartes, 77454 Marne-la-Vallée, France

  28. History, Adaptation, and Hidden Gain: Two Prospective Tests of Learned Predictive Control in a Synthetic Neural Population

    Oct 9, 2026Mahesh Reddy PagadalaNeural Network ControlAdaptive Control

    Aston University, Birmingham, UK

  29. Neural Surrogate Modeling of Ultrasonic Wave Propagation in Heterogeneous Media

    Oct 9, 2026Burla Nur Korkmaz, Petro Moilanen, Ari Salmi +2Neural Surrogate ModelingPDE Surrogate Modeling

    Department of Computer Science, University of Helsinki, Finland

  30. Polyconvex neural-network surrogates with learned paired directional features for anisotropic hyperelastic homogenization

    Oct 8, 2026S. Ares de Parga, A. Cornejo, J. A. Hernández +1Neural Surrogate ModelingHyperelasticity

    Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), Barcelona, Spain · Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA · Universitat Politècnica de Catalunya, Department of Civil and Environmental Engineering (DECA), Barcelona, Spain +1