activity
20162026
most citedRecent advances in accelerated discovery through machine learning and statistical inference

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

2 papers · 1 filter

physics.comp-ph2018

Unsupervised machine learning for detection of phase transitions in off-lattice systems I. Foundations

R. B. Jadrich, B. A. Lindquist, T. M. Truskett

We demonstrate the utility of an unsupervised machine learning tool for the detection of phase transitions in off-lattice systems. We focus on the application of principal componen…

physics.comp-ph2018

Unsupervised machine learning for detection of phase transitions in off-lattice systems II. Applications

R. B. Jadrich, B. A. Lindquist, W. D. Pineros +2

We outline how principal component analysis (PCA) can be applied to particle configuration data to detect a variety of phase transitions in off-lattice systems, both in and out of…