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Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, 78712, Department of Chemistry, University of Texas at Austin, Austin, TX, 78712
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Kramers' classic model is reinterpreted to show that the trajectory's history is crucial for accurately mapping chemical kinetics, challenging conventional separation methods.
Quantum mechanics and environmental factors impose strict speed limits on biomolecular processes, revealing that traditional estimates may be fundamentally flawed.
Non-Markovian dynamics can arise from Markovian processes due to noise, complicating entropy production estimates in single-molecule tracking.
