Machine learning and artificial neural network prediction of interfacial thermal resistance between graphene and hexagonal boron nitride
Author:
Affiliation:
1. Department of Chemistry
2. University of Nebraska-Lincoln
3. Lincoln
4. USA
5. Holland Computing Center
Abstract
Several machine learning algorithms and artificial neural network structures are used to predict the interfacial thermal resistance between single layer graphene and hexagonal boron nitride with only the knowledge of the system temperature, inter-layer coupling strength, and in-plane tensile strain.
Publisher
Royal Society of Chemistry (RSC)
Subject
General Materials Science
Link
http://pubs.rsc.org/en/content/articlepdf/2018/NR/C8NR05703F
Reference45 articles.
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2. Cramming More Components Onto Integrated Circuits
3. Feedforward kernel neural networks, generalized least learning machine, and its deep learning with application to image classification
4. Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing
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