id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cv43nv96f7n	Han Gao	Scientific Deep Learning for Forward and Inverse Modeling of Spatiotemporal Physics	2023		.txt	text/plain	94	4	17	To achieve this, modern deep learning models for complex systems were developed by integrating machine learning, numerical methods, and probabilistic modeling. Taken together, the frameworks presented in this thesis offer useful insight into the impact of modern deep learning models on solving challenging spatiotemporal systems in physics.	cache/cv43nv96f7n.txt	txt/cv43nv96f7n.txt