Search Results for author: Michael Hinczewski

Found 3 papers, 2 papers with code

Machine learning in and out of equilibrium

1 code implementation6 Jun 2023 Shishir Adhikari, Alkan Kabakçıoğlu, Alexander Strang, Deniz Yuret, Michael Hinczewski

In an example system where the posterior is exactly known, this SGWORLD algorithm outperforms SGLD, converging to the posterior orders of magnitude faster as a function of the learning rate.

Navigate Protein Folding

Low force unfolding of a single-domain protein by parallel pathways

no code implementations21 Dec 2020 Pavel I. Zhuravlev, Michael Hinczewski, D. Thirumalai

Our results, when combined with previous theoretical and experimental studies, show that parallel unfolding of structurally unrelated single domain proteins can be determined from the dependence of $\log k_u(f)$ as a function of force (or $\log k_u[C]$ where $[C]$ is the denaturant concentration).

Soft Condensed Matter Statistical Mechanics

Controlling the speed and trajectory of evolution with counterdiabatic driving

2 code implementations8 Dec 2019 Shamreen Iram, Emily Dolson, Joshua Chiel, Julia Pelesko, Nikhil Krishnan, Özenç Güngör, Benjamin Kuznets-Speck, Sebastian Deffner, Efe Ilker, Jacob G. Scott, Michael Hinczewski

The pace and unpredictability of evolution are critically relevant in a variety of modern challenges: combating drug resistance in pathogens and cancer, understanding how species respond to environmental perturbations like climate change, and developing artificial selection approaches for agriculture.

Statistical Mechanics Populations and Evolution

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