Surrogate Modeling

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21 papers in the last four weeks, up 200% on the four weeks before. 0.2% of all new papers.

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  1. Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning

    Apr 23, 2026Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1Neural Surrogate ModelingConvolutional RNNs

    Dept. of Materials Science, University of Milano-Bicocca, 20125 Milano, Italy · Dept. of Physics, University of Genova, 16146 Genova, Italy

  2. Surrogate Functionals for Machine-Learned Orbital-Free Density Functional Theory

    Apr 22, 2026Roman Remme, Fred A. HamprechtSurrogate ModelingQuantum Chemistry

    Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University

  3. Surrogate modeling for interpreting black-box LLMs in medical predictions

    Apr 22, 2026Changho Han, Songsoo Kim, Dong Won Kim +4Surrogate ModelingLLM Interpretability

    Medical Big Data Research Center, Seoul National University Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea · Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea. · Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139 +5

  4. The High Explosives and Affected Targets (HEAT) Dataset

    Apr 20, 2026Bryan Kaiser, Kyle Hickmann, Sharmistha Chakrabarti +6Surrogate ModelingSynthetic Benchmark Generation

    Los Alamos National Laboratory

  5. Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design

    Apr 20, 2026Yunjia Yang, Babak Gholami, Caglar Gurbuz +2Surrogate ModelingTransformer

    Technical University of Munich, Garching, D-85748, Germany · BMW Group, Bremer Str. 6, Munich, D-80788, Germany

  6. Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations

    Apr 17, 2026Eva van Tegelen, Taniya Kapoor, George A. K. van Voorn +2Surrogate ModelingPDE Surrogate Modeling

    Artificial Intelligence Group, Wageningen University and Research, Netherlands · Mathematical and Statistical Methods, Wageningen University and Research, Netherlands

  7. Lecture notes on Machine Learning applications for global fits

    Apr 8, 2026Jorge AldaSurrogate ModelingHigh-Energy Physics

    Dipartimento di Fisica e Astronomia “Galileo Galilei”, Università degli Studi di Padova and INFN Sezione Padova, via Marzolo 8 35129 Padova, Italy. · Centro de Astropartículas y Física de Altas Energías (CAPA), Pedro Cerbuna 12 50009 Zaragoza, Spain.

  8. ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics

    Apr 1, 2026Zeyu Xia, Tyler Kim, Trevor Reed +3Surrogate ModelingConditional Flow Matching

    Department of Computer Science, University of Virginia, 85 Engineer’s Way, Charlottesville, VA 22904, USA · School of Data Science, University of Virginia, 1919 Ivy Road, Charlottesville, VA 22903, USA · Department of Physics, Indiana University Bloomington, 727 East Third Street, Bloomington, IN 47405, USA

  9. Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data

    Mar 23, 2026Atticus Rex, Elizabeth Qian, David PetersonSurrogate ModelingMultifidelity Modeling

    School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA · School of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, GA · Air Force Research Lab, Wright-Patterson AFB, Dayton, Ohio

  10. Goal-oriented learning of stochastic differential equations using error bounds on path-space observables

    Mar 20, 2026Joanna Zou, Han Cheng Lie, Youssef MarzoukSurrogate ModelingStochastic Differential Equations

    Center for Computational Science & Engineering, Massachusetts Institute of Technology, Cambridge, MA · Department of Mathematics, University of Potsdam, Potsdam, Germany

  11. How Can Machine Learning Emulators Best Support Climate Science?

    Mar 20, 2026Luca Schmidt, Nina Effenberger, Vitus Benson +5Surrogate ModelingClimate Science

    Institute for Atmospheric and Climate Science ETH Zurich · Seminar for Statistics ETH Zurich

  12. Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization

    Mar 17, 2026Isaac Robledo, Alberto Vilariño, Arnau Miró +3Multi-Fidelity OptimizationSurrogate Modeling

    Aerial Platforms Department Subdirectorate General for Aeronautical Systems Spanish National Institute for Aerospace Technology (INTA) · Department of Aerospace Engineering Universidad Carlos III de Madrid Madrid, Spain · TUAREG Research Group Universitat Politècnica de Catalunya (UPC) CASE Large-Scale Computational Fluid Dynamics Barcelona Supercomputing Centre (BSC) Barcelona, Spain

  13. Probabilistic Retrofitting of Learned Simulators

    Mar 2, 2026Cristiana Diaconu, Miles Cranmer, Richard E. Turner +2Surrogate ModelingPDE Surrogate Modeling

    The Polymathic AI Collaboration · University of Cambridge · Alan Turing Institute

  14. Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

    Feb 25, 2026Nathalie C. Pinheiro, Donghu Guo, Hannah P. Menke +4Surrogate ModelingPDE Surrogate Modeling

    Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ UK · Institute of GeoEnergy Engineering, Heriot-Watt University, Edinburgh, EH14 1AS UK · Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ UK +2

  15. Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM

    Oct 9, 2025Oskar Bohn Lassen, Serio Angelo Maria Agriesti, Filipe Rodrigues +2Neural Surrogate ModelingSurrogate Modeling

    Technical University of Denmark Kongens Lyngby, Denmark

  16. Bifidelity Parameter Estimation Using Conditional Diffusion Models

    Apr 2, 2025Caroline Tatsuoka, Minglei Yang, Dongbin Xiu +1Simulation-Based InferenceSurrogate Modeling

    Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA · Fusion Energy Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA · Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA

  17. Active Learning with Bayesian Multi-Fidelity Laplace Neural Operators for Oscillatory Parametric PDEs

    Feb 1, 2025Bongseok Kim, Haoyang Zheng, Michael Penwarden +1Dynamical SystemsSurrogate Modeling

    School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, 47907, IN, USA. · Department of Mathematics, Purdue University, 150 North University Street, West Lafayette, 47907, IN, USA.

  18. Surrogate Modeling for Explainable Predictive Time Series Corrections

    Dec 27, 2024Alfredo Lopez, Florian SobieczkySurrogate ModelingExplainable Time Series Forecasting

    Software Competence Center Hagenberg, Hagenberg, Austria.

  19. Closed-Loop Bayesian Molecular Inverse Design with Semantic LLM Surrogates

    Date pendingYaoyao Xu, Xinjian Zhao, Xiaozhuang Song +2Molecular OptimizationSurrogate Modeling

    School of Data Science, The Chinese University of Hong Kong, Shenzhen · Shanghai Artificial Intelligence Laboratory