id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-25051	Liang, Hanyang	Research Progress of Graphene Thin Films for Heat Dissipation Applications in Electronic Devices	2024	4	.pdf	application/pdf	2978	161	46	By optimizing the BP neural network model, it is found that the network performance is optimal when the number of neurons is 14 and the number of hidden layers is 4.Its experimental results show that the heat sink coated with graphene film has 4.12% higher thermal performance than the heat sink without graphene film [7].The heat dissipation effect of graphene varies when it is coated in different positions of the heat pipe heat sink, with the best heat dissipation effect of fully coated graphene [8].The flexibility and high thermal conductivity of graphene film are utilized to design heat sink structures adapted to different shapes and sizes, such as flat plate, finned, and curled. Combining the hybrid structure of graphene film and conventional heat dissipation materials, along with alternately arranged multilayers of graphene and high thermal conductivity fillers, the mechanical strength and stability can be enhanced while maintaining high thermal conductivity.	cache/ajst-25051.pdf	txt/ajst-25051.txt