Enhanced force-field calibration via machine learning

@article{Argun2020EnhancedFC,
  title={Enhanced force-field calibration via machine learning},
  author={A. Argun and Tobias Thalheim and Stefano Bo and F. Cichos and G. Volpe},
  journal={arXiv: Computational Physics},
  year={2020}
}
  • A. Argun, Tobias Thalheim, +2 authors G. Volpe
  • Published 2020
  • Computer Science, Physics
  • arXiv: Computational Physics
  • The influence of microscopic force fields on the motion of Brownian particles plays a fundamental role in a broad range of fields, including soft matter, biophysics, and active matter. Often, the experimental calibration of these force fields relies on the analysis of the trajectories of these Brownian particles. However, such an analysis is not always straightforward, especially if the underlying force fields are non-conservative or time-varying, driving the system out of thermodynamic… CONTINUE READING

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