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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Machine learning kinetics from molecular dynamics data

    Sep 15, 2026Jonathan Weare, Aaron R. DinnerKineticsMolecular Dynamics

    Courant Institute School of Mathematics, Computing, and Data Science, New York University, New York, New York 10012, United States · Department of Chemistry and James Franck Institute, University of Chicago, Chicago, Illinois 60637, United States

  2. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

    Aug 31, 2026Isaac Malsky, Xi Zhang, Tiffany Kataria +5Exoplanet AtmospheresKinetics

    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

  3. 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 +1KineticsParametric Physics-Informed Neural Network

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

  4. The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models

    Jul 29, 2026Lei DongPlasticityCircuits

    Independent Researcher

  5. Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

    Jul 10, 2026Okezzi Ukorigho, Opeoluwa OwoyeleCombustion ControlKinetics

    Department of Mechanical and Industrial Engineering Louisiana State University, Baton Rouge, LA 70810, USA

  6. Learning Hybrid Biophysical Neuron Models with Neural ODEs

    Jun 15, 2026Jonas Beck, Michael Deistler, Dóra Viktória Molnár +2Neural Ordinary Differential EquationsNeurons

    Hertie Institute for AI in Brain Health, Tübingen, Germany · Tübingen AI Center, University of Tübingen, Tübingen, Germany · Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany +2

  7. BRICKS-WM: Building Reusability via Interface Composition Kinetics for Structured World Models

    Jun 15, 2026Shaowei Zhang, Jiahan Cao, Xunlan Zhou +2World ModelsModel-Based Reinforcement Learning

    1National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · School of Intelligence Science and Technology, Nanjing University, China

  8. Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability

    Jun 10, 2026Riya Bisht, Dhruv AgarwalPharmacokineticsKinetics

  9. Physics-Constrained Neural Surrogate for Domain Growth Prediction in Systems with Conserved Kinetics

    Jun 9, 2026Vijay Yadav, Pallvi Pandey, Madhu Priya +2Physics-Guided Machine LearningKinetics

    Department of Physics, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan 342 030, India · Department of Physics, Birla Institute of Technology Mesra, Ranchi, Jharkhand 835 215, India · Department of Physics, Central University of Rajasthan, Ajmer, Rajasthan 305 817, India

  10. Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics

    Jun 1, 2026Marah Almanasreh, Alexander Mitsos, Eike CramerKineticsPolymer Property Prediction

    RWTH Aachen University, Process Systems Engineering (AVT.SVT), 52074 Aachen, Germany · JARA-CSD, 52425 Jülich, Germany · Energy Systems Engineering (ICE-1), Forschungszentrum Jülich, 52425 Jülich, Germany +1

  11. Look Further: Socially-Compliant Navigation System in Residential Buildings

    May 26, 2026Akira Shiba, Marina Obata, Nathan Kau +4Robot NavigationSafe Navigation

    Woven by Toyota, Inc., Japan

  12. Learning dynamical systems with biochemically informed neural ordinary differential equations

    May 22, 2026Luis L. Fonseca, Reinhard C. Laubenbacher, Lucas BöttcherNeural Ordinary Differential EquationsKinetics

    Laboratory for Systems Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA · Department of Computational Science and Philosophy, Frankfurt School of Finance and Management, Frankfurt am Main, 60322, Germany

  13. Multi-Fidelity Learning with Shallow Recurrent Decoders for Reactor Physics

    May 22, 2026Stefano Riva, Carolina Introini, J. Nathan Kutz +1Multi-FidelityNuclear Data

    Autodesk Research, London, UK · Department of Energy, Nuclear Engineering Division, Politecnico di Milano, Milan, Italy · Department of Mechanical and Nuclear Engineering and Emirates Nuclear Technology Center, Khalifa University, Abu Dhabi (127788), United Arab Emirates

  14. Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks

    May 5, 2026Sreejata Dey, Guoxiang Grayson Tong, Jonathan F. MacArt +1KineticsSystem Identification

    Department of Applied and Computational Mathematics and Statistics, University of Notre Dame · Department of Pediatrics, Stanford University · Department of Aerospace and Mechanical Engineering, University of Notre Dame

  15. KinetiDiff: Docking-Guided Diffusion for De Novo ACVR1 Inhibitor Design in Fibrodysplasia Ossificans Progressiva

    Apr 17, 2026Aaryan PatelDrug DesignKinetics

    Saugus High School, Santa Clarita, CA

  16. Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling

    Apr 8, 2026Andrew Millard, Zheng Zhao, Henrik PedersenKineticsDiffusion Sampling

    Division of Statistics and Machine Learning (STIMA), Linköping University, Sweden · STIMA, Linköping University, Sweden · Division of Chemistry, Linköping University, Sweden