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pro vyhledávání: '"Bryan IV, J Shepard"'
Deep learning based approaches are now widely used across biophysics to help automate a variety of tasks including image segmentation, feature selection, and deconvolution. However, the presence of multiple competing deep learning architectures, each
Externí odkaz:
http://arxiv.org/abs/2408.07786
While particle trajectories encode information on their governing potentials, potentials can be challenging to robustly extract from trajectories. Measurement errors may corrupt a particle's position, and sparse sampling of the potential limits data
Externí odkaz:
http://arxiv.org/abs/2202.02347
Effective forces -- derived from experimental or {\it in silico} molecular dynamics time traces -- are critical in developing reduced and computationally efficient descriptions of otherwise complex dynamical problems. Thus, designing methods to learn
Externí odkaz:
http://arxiv.org/abs/1908.10484
Akademický článek
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Publikováno v:
Journal of Chemical Physics; 3/31/2020, Vol. 152 Issue 12, p1-14, 14p, 1 Diagram, 9 Graphs
