id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
j3860577b2v	John E. Herr	Development of Neural Network Models for Prediction of Molecular Properties	2020		.txt	text/plain	348	17	41	ML potential energy models are promising the accuracy of quantum methods at significantly reduced cost. This dissertation describes methods for collecting datasets of nonequilibrium geometries for training ML potential energy models and shows that enhanced sampling methods or methods which do not follow Boltzmann statistics are necessary for diversely sampling geometries.	cache/j3860577b2v.txt	txt/j3860577b2v.txt