Rachael Mansbach’s JCP article ranked as one of the most read Biological Molecules and Networks articles of the year

Rachael’s article describing the use of nonlinear machine learning to connect molecular chemistry and experimental conditions to microscopic single-molecule behavior has been rated as one of the most read Biological Molecules and Networks articles of the year in the Journal of Chemical Physics (http://dx.doi.org/10.1063/1.4914144). Big congratulations to Rachael on her achievement!