id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
h989r21159k	Michael Dale Vander Wal	The Extension of Neural Networks to Compute NLTE Opacities for Multiple Elements and at Increased Fidelities	2022		.txt	text/plain	246	10	40	Further extending the capabilities of the neural networks, it is demonstrated that neural networks can be made to predict high-fidelity spectra through the use of transfer learning achieving median relative errors of the maximum radiative temperature can be on the order of 1\%-2\% and can very likely be made better with more training data. Neural networks have thus been turned to as an alternative for the standard computations of NLTE opacities.	cache/h989r21159k.txt	txt/h989r21159k.txt