New paper from Atharva and Brad!

A new paper authored by Atharva and Brad, entitled “Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks,” has been published by The Journal of Physical Chemistry B as part of their Virtual Issue on Machine Learning in Physical Chemistry! Check it out at the link above. Congratulations to both, and particularly Atharva as this is his first paper with the group.

Read the full article at: