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  1. Grammar-based Ordinary Differential Equation Discovery
    2025/04/03 by Karin L. Yu, Eleni Chatzi, Yu, Karin L. +3 · 2 citations
    Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Modeling and Simulation Systems #Simulation Techniques and Applications
  2. Text2Model: Generating dynamic chemical reactor models using large language models (LLMs)
    2025/03/21 by Yassine Hounat, Rupprecht, Sophia, Hounat, Yassine +5 · 2 citations
    Computer Science · #Modeling and Simulation Systems #Model-Driven Software Engineering Techniques #Topic Modeling
  3. OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation
    2025/03/19 by Shang Liu, Yao Lu, Liu, Shang +7 · 8 citations
    Decision Sciences · Computer Science · #Simulation Techniques and Applications #Modeling and Simulation Systems
  4. LIMO: Less is More for Reasoning
    2025/02/05 by Y. M. Ye, Yixin Ye, Zhen Huang +11 · 28 voices · 132 citations
    Computer Science · Decision Sciences · #Modeling and Simulation Systems #Simulation Techniques and Applications
  5. Open system dynamics in linear-time beyond the wide-band limit
    2025/02/07 by Y. Pavlyukh, Pavlyukh, Yaroslav, Riku Tuovinen +1 · 3 citations
    Computer Science · Engineering · #Modeling and Simulation Systems #Nonlinear Dynamics and Pattern Formation #Vibration and Dynamic Analysis
  6. C codegen considered unnecessary: go directly to binary, do not pass C. Compilation of Julia code for deployment in model-based engineering
    2025/02/03 by Fredrik Bagge Carlson, Cody Tapscott, Carlson, Fredrik Bagge +6 · 5 voices · 2 citations
    Computer Science · Decision Sciences · #Model-Driven Software Engineering Techniques #Simulation Techniques and Applications #Modeling and Simulation Systems
  7. Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
    2024/10/04 by Louis Serrano, Armand Kassaï Koupaï, Serrano, Louis +7 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modeling and Simulation Systems
  8. Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
    2024/09/07 by Lin Fu, Jiasheng Shi, Lin, Fu +8 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Modeling and Simulation Systems #Real-time simulation and control systems #Simulation Techniques and Applications #and Science (cs.CE)
  9. Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
    2024/08/16 by Zhiyong Wang, Wang, Zhiyong, Dongruo Zhou +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modeling and Simulation Systems
  10. Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines
    2024/06/01 by Tao Song, Song, Tao, Yuwei Fan +9 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Modeling and Simulation Systems #Simulation Techniques and Applications #Vehicle emissions and performance #and Science (cs.CE)
  11. FUSE: Fast Unified Simulation and Estimation for PDEs
    2024/05/23 by Levi Lingsch, Dana Grund, Lingsch, Levi E. +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modeling and Simulation Systems #Real-time simulation and control systems #Simulation Techniques and Applications
  12. Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
    2024/05/18 by Tianhao Wei, Liqian Ma, Wei, Tianhao +7 · 1 citation
    Engineering · Computer Science · #Advanced Control Systems Optimization #Modeling and Simulation Systems
  13. Dimension-eight Operator Basis for Universal Standard Model Effective Field Theory
    2024/04/04 by Tyler Corbett, Jay Desai, Corbett, Tyler +5 · 2 citations
    Computer Science · Engineering · Mathematics · #Electromagnetic Simulation and Numerical Methods #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Modeling and Simulation Systems #Numerical methods for differential equations
  14. Self-Correcting Self-Consuming Loops for Generative Model Training
    2024/02/11 by Nate Gillman, Gillman, Nate, Michael R. Freeman +11 · 3 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model-Driven Software Engineering Techniques #Modeling and Simulation Systems #Simulation Techniques and Applications
  15. ChatMPC: Natural Language based MPC Personalization
    2023/09/12 by Yuya Miyaoka, Masaki Inoue, Miyaoka, Yuya +3 · 2 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Human-Computer Interaction (cs.HC) #Modeling and Simulation Systems #Real-time simulation and control systems #Systems and Control (eess.SY) #electronic engineering #information engineering
  16. Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023
    2023/06/20 by Yu Wang, Tiebiao Zhao, Wang, Yu +3 · 6 citations
    Computer Science · Decision Sciences · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Modeling and Simulation Systems #Real-time simulation and control systems #Simulation Techniques and Applications
  17. From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
    2023/05/23 by Ferdinand Mütsch, Mütsch, Ferdinand, Helen Gremmelmaier +9 · 1 citation
    Decision Sciences · Computer Science · #Simulation Techniques and Applications #Scientific Computing and Data Management #Modeling and Simulation Systems
  18. Linear port-Hamiltonian DAE systems revisited
    2022/11/12 by Arjan van der Schaft, Volker Mehrmann, van der Schaft, Arjan +1 · 3 citations
    Computer Science · Engineering · Mathematics · #34A09 #37J06 #93C05 #Control and Stability of Dynamical Systems #FOS: Mathematics #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Numerical methods for differential equations #Optimization and Control (math.OC)
  19. Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees
    2022/10/16 by Iannotta, Marco, David Cáceres Domínguez, Domínguez, David Cáceres +6 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Modeling and Simulation Systems #Reinforcement Learning in Robotics #Robotics (cs.RO)
  20. Explicit Exactly Energy-conserving Methods for Hamiltonian Systems
    2022/06/24 by Stefan Bilbao, Bilbao, Stefan, Michele Ducceschi +3 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Model Reduction and Neural Networks #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Numerical methods for differential equations
  21. Geometrical aspects of contact mechanical systems and field theories
    2022/04/25 by Xavier Rivas Guijarro, Guijarro, Xavier Rivas · 2 citations
    Engineering · Computer Science · #Dynamics and Control of Mechanical Systems #Control and Stability of Dynamical Systems #Modeling and Simulation Systems
  22. Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
    2022/03/12 by Harsh Sharma, Boris Kramer, Sharma, Harsh +1 · 5 citations
    Computer Science · Engineering · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Real-time simulation and control systems
  23. Constructing Neural Network-Based Models for Simulating Dynamical Systems
    2021/11/02 by Christian Møldrup Legaard, Thomas Schranz, Legaard, Christian Møldrup +15 · 4 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Modeling and Simulation Systems
  24. Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
    2021/10/05 by Michael Lutter, Jan Peters, Lutter, Michael +1 · 5 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Data Processing Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Modeling and Simulation Systems #Robotics (cs.RO)
  25. Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Canonical Hamiltonian Systems
    2021/07/27 by Harsh Sharma, Sharma, Harsh, Zhu Wang +3 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Mathematics #Model Reduction and Neural Networks #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Numerical methods for differential equations
  26. Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
    2021/06/24 by C. Daniel Freeman, Freeman, C. Daniel, Erik Frey +9 · 55 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Modeling and Simulation Systems
  27. Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics\n Learning and Control
    2021/06/24 by Thai Duong, Duong, Thai, Nikolay Atanasov +1 · 6 citations
    Computer Science · Engineering · Physics and Astronomy · #Control and Stability of Dynamical Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Modeling and Simulation Systems #Neural Networks and Applications #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  28. F3ORNITS: A Flexible Variable Step Size Non-Iterative Co-simulation Method handling Subsystems with Hybrid Advanced Capabilities
    2021/01/22 by Yohan Eguillon, Eguillon, Yohan, Bruno Lacabanne +3 · 1 citation
    Mathematics · Decision Sciences · Computer Science · #Numerical methods for differential equations #Simulation Techniques and Applications #Modeling and Simulation Systems
  29. Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
    2020/10/26 by Marc Finzi, Finzi, Marc, Ke Alexander Wang +3 · 6 citations
    Computer Science · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Control and Stability of Dynamical Systems #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Modeling and Simulation Systems #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting
  30. Learning second order coupled differential equations that are subject to\n non-conservative forces
    2020/10/17 by Roger Alexander Müller, Müller, Roger Alexander, Jonathan Laflamme-Janssen +5 · 1 voice
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Modeling and Simulation Systems #cs.AI #cs.LG

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