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Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models

arXiv 2512.03706 ↗First posted 3 Dec 2025physics.comp-ph cs.LG math.DScited by 0

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Abstract (arXiv)

Coarse graining (CG) is an important task for efficient modeling and simulation of complex multi-scale systems, such as the conformational dynamics of biomolecules. This work presents a projection-based coarse-graining formalism for general underdamped Langevin dynamics. Following the Zwanzig projection approach, we derive a closed-form expression for the coarse grained dynamics. In addition, we show how the generator Extended Dynamic Mode Decomposition (gEDMD) method, which was developed in the context of Koopman operator methods, can be used to model the CG dynamics and evaluate its kinetic properties, such as transition timescales. Finally, we combine our approach with thermodynamic interpolation (TI), a generative approach to transform samples between thermodynamic conditions, to extend the scope of the approach across thermodynamic states without repeated numerical simulations. Using a two-dimensional model system, we demonstrate that the proposed method allows to accurately capture the thermodynamic and kinetic properties of the full-space model.

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References · 5

  1. 2019Data-driven approximation of the Koopman generator: Model reduction, system identification, and controlcited by 85
  2. 2017Variational approach for learning Markov processes from time series datacited by 51
  3. 2020Molecular Latent Space Simulatorscited by 13
  4. 2023Reaction coordinate flows for model reduction of molecular kineticscited by 6
  5. 2025HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passingcited by 5

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