id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
8c97kp81n8v	Ruiyang Li	Deep Learning for Modeling Multi-Scale Thermal Transport	2023		.txt	text/plain	603	25	33	On the other hand, while BTE is capable of describing heat carrier distributions and simulating thermal transport at the device level, the computational cost of solving BTE can be prohibitively high. PINNs have the potential to be a valuable tool for simulating thermal transport at the device level and may facilitate efficient inverse learning and thermal design.	cache/8c97kp81n8v.txt	txt/8c97kp81n8v.txt