Neural Surrogate Modeling

Ask about this topic

Momentum

39 papers in the last four weeks, up 388% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 254

All topics
CardsList

  1. Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics

    Sep 17, 2026Yi Zhu, Su Chen, Xiaojun LiNeural Surrogate ModelingLatent Dynamics Modeling

    State Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology Beijing 100124, China

  2. Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models

    Sep 17, 2026Yufeng Wang, Parivesh Priye, Lu Wei +1Neural Surrogate ModelingDynamical Systems

    Stony Brook University · Georgia Institute of Technology · Westlake University

  3. Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulations

    Sep 16, 2026Marcin Lawenda, Aleksandra Krasicka, David Caballero +2Neural Surrogate ModelingWildfire Forecasting

    Poznan Supercomputing and Networking Center, Poznań, Poland · MeteoGrid, Madrid, Spain · Technical University of Czestochowa, Częstochowa, Poland

  4. Graph neural networks for exoplanet atmospheres

    Sep 15, 2026Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4Neural Surrogate ModelingGraph Neural Networks

    Department of Physics and Astronomy, University College London, Gower Street, WC1E 6BT London, United Kingdom · European Space Agency, ESAC, Camino Bajo del Castillo, 28692, Villanueva de la Cañada, Madrid, Spain · Department of Physics, King’s College London, University of London, Strand, London, WC2R 2LS, United Kingdom +1

  5. Neural Field Ensembles for Aerodynamic Surface Prediction: Winning Solution to the ONERA CRM Wall Distribution 2025 Challenge

    Sep 15, 2026Lionel Salesses, Caroline Sainvitu, Tariq BenamaraNeural Surrogate ModelingImplicit Neural Representations

    Cenaero, Gosselies, Belgium

  6. 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

  7. Scaling Laws for Physics-Aware ACOPF Surrogate Learning

    Sep 14, 2026Yijiang Li, Emon Dey, Stefano Fenu +3Neural Surrogate ModelingOptimal Power Flow

    Argonne National Laboratory Lemont, USA · Oak Ridge National Laboratory Oak Ridge, USA

  8. Learning the Geometry of Collider Events with Metric-Aware Deep Sets

    Sep 14, 2026Lauren Hay, Rishabh Jain, Matt LeBlanc +1Neural Surrogate ModelingRepresentation Learning

    Brown University / IAIFI · Brown University

  9. Physics-enriched neural solvers for transient ice-flow simulation

    Sep 14, 2026Thomas Gregov, Sebastian Rosier, Brandon Finley +2Neural Surrogate ModelingNeural PDE Solvers

    Institute of Earth Surface Dynamics, Universit´e de Lausanne, Lausanne, Switzerland · Department of Geography, Universität Zürich, Zürich, Switzerland

  10. Neural-Network Solutions to Real-Space Charge Density and Generalization

    Sep 14, 2026Yuxuan Zeng, Taoyuze Lv, Zhicheng ZhongNeural Surrogate ModelingEquivariant Neural Networks

    School of Artificial Intelligence & Data Science, University of Science and Technology of China · Suzhou Institute for Advanced Research, University of Science and Technology of China

  11. Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere

    Sep 9, 2026Sergey NikiforovNeural Surrogate ModelingPhysics-Informed ML

    Center for Astrophysics and Space Science (CASS), New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

  12. Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate

    Sep 9, 2026Wenpu Du, Peng Zhou, Yunlong Xia +5Neural Surrogate ModelingBenchmark Construction

    School of Environment and Safety Engineering, North University of China, Taiyuan, 030051, China

  13. Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction

    Sep 8, 2026Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4Neural Surrogate ModelingUncertainty Quantification

    Swiss Data Science Center, ETH Zurich & EPFL · CERN, Geneva · EPFL, Lausanne; CERN, Geneva

  14. Neptune: An AI model for Global Ocean Subseasonal Prediction

    Sep 8, 2026Davide Donno, Italo Epicoco, Massimo Cafaro +8Neural Surrogate ModelingClimate Modeling

    Department of Engineering for Innovation, University of Salento, Via per Monteroni, Lecce, Italy · CMCC Foundation - Euro-Mediterranean Center on Climate Change, Italy · Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA +2

  15. Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework

    Sep 7, 2026Rui Barreira, Taylan Soydan, Francesco Scipione +2Neural Surrogate ModelingState Space Models

    Chair of Artificial Intelligence in Mechanics and Manufacturing, ETH Zurich, Switzerland · inspire AG, Zurich, Switzerland · School of Engineering, Brown University, Providence, Rhode Island, USA

  16. Learnable composition for neural operators

    Sep 2, 2026Zituo Chen, Baiming Zhang, Sili DengNeural Surrogate ModelingTransfer Learning

    MIT MechE · University of Toronto

  17. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

    Aug 31, 2026Isaac Malsky, Xi Zhang, Tiffany Kataria +5Neural Surrogate ModelingFlow Map Learning

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA · Department of Earth and Planetary Sciences, University of California Santa Cruz, Santa Cruz, CA 95064, USA · Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA +4

  18. Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

    Aug 25, 2026Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4Neural Surrogate ModelingSelf-Supervised Learning

    Massachusetts Institute of Technology, Cambridge, MA, USA. · GE Vernova Advanced Research Center, Niskayuna, NY, USA.

  19. A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design

    Aug 18, 2026Huanshu Zhang, Kegeng Tang, Lei Kang +3Neural Surrogate ModelingLarge Language Model-Guided Optimization

    The Pennsylvania State University, Department of Electrical Engineering, University Park, PA 16802, USA · University of Tennessee at Chattanooga, Department of Computer Science and Engineering, Chattanooga, TN 37403, USA

  20. Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation

    Aug 13, 2026Emilia Majerz, Jacek Otwinowski, Witold Dzwinel +1Neural Surrogate ModelingNormalizing Flows

    AGH University of Krakow, Poland · The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences

  21. Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

    Aug 11, 2026Qiyao Zhou, Xujia Zhu, Pierre Joli +2Neural Surrogate ModelingParameter Estimation

    LMEE, UnivEvry, Université Paris-Saclay, Evry, France · L2S, Université Paris-Saclay, CNRS, CentraleSupéléc, Gif-sur-Yvette, France · CEREA, ENPC, EDF R&D, Institut Polytechnique de Paris, Île-de-France, France

  22. Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks

    Aug 11, 2026Xiaoxuan Gao, Rentao Gu, Yingchun Wang +3Neural Surrogate ModelingFew-Shot Domain Adaptation

    State Key Lab of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China · China Mobile Group Design Institute Co., Ltd., Beijing, 100080, China

  23. GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis

    Aug 10, 2026Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19Neural Surrogate ModelingOptimal Power Flow

    IBM Research · Reliability and Risk Engineering Laboratory, ETH Zurich, Switzerland · Hydro-Qu´ebec Research Institute, Canada +3

  24. Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search

    Aug 9, 2026Yiqiao Liao, Parinaz NaghizadehNeural Surrogate Modeling

    UC San Diego

  25. Tools to Explain Neural Networks for Power System Dynamics

    Aug 8, 2026Petros Ellinas, Johanna Vorwerk, Spyros ChatzivasileiadisNeural Surrogate ModelingNeural Network Interpretability

    Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark

  26. Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

    Aug 4, 2026Seonaeng Cho, Minjee Seo, Minju Seol +3Neural Surrogate ModelingModel-Based Planning

    School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea · College of Medicine, Department of Radiology, Yonsei University, Seoul, Republic of Korea · Innovative & Intelligent Computational Science Institute (IN2CSI), Seoul, Republic of Korea

  27. Neural Networks with Local Converging Inputs for Efficient Options Pricing Models

    Aug 3, 2026Harris Cobb, Wenbo Hao, Yingjie LiuNeural Surrogate ModelingNeural PDE Solvers

    School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332

  28. HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems

    Aug 1, 2026Ajitesh SrivastavaNeural Surrogate ModelingZero-Shot Learning

    Northeastern University

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

    Aug 1, 2026Anand Kumar, Puli Saikiran, Vineet Dawara +1Neural Surrogate ModelingUncertainty Quantification

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

  30. A Physics-Chemistry-Informed Neural Network (PCINN) for Real-Time Spatial-ALD Coverage Prediction and Reliable Kinetics Inversion

    Jul 31, 2026Ning Hu, Chang Liu, Yunlei Jiang +1Neural Surrogate ModelingParameter Identifiability

    School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, China · Information Engineering School, Hangzhou Dianzi University, Hangzhou, China