Giant thermal conductivity and strain thermal response of nitrogen substituted diamane: a machine-learning-based prediction-Reference-Cited by-同舟云学术

Giant thermal conductivity and strain thermal response of nitrogen substituted diamane: a machine-learning-based prediction

Published:2024 Issue:30 Volume:16 Page:14387-14401
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Wang Biao¹²,Huang Zhenqiao³⁴,Xu Xingchun¹,Fan Saifei¹²,Zhao Kunlong¹,Zhu Jiaqi¹²^ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Advanced Composites in Special Environments, Harbin Institute of Technology, Harbin 150080, China

2. Zhengzhou Research Institute, Harbin Institute of Technology, Zhengzhou 450000, China

3. Department of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong 999077, PR China

4. Department of Physics & Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Abstract

With the ongoing trend of seeking miniaturization and enhanced performance for electronic devices, effective thermal management has emerged as a critical concern.

Funder

National Basic Research Program of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NR/D4NR01834F

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1. Advance in Novel Boron Nitride Nanosheets to Nanoelectronic Device Applications

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5. Recent advances in two-dimensional materials and their nanocomposites in sustainable energy conversion applications