An <i>ab initio</i> dataset of size-dependent effective thermal conductivity for advanced technology transistors

Abstract As the size of transistors shrinks and power density increases, thermal simulation has become an indispensable part of the device design procedure. However, existing works for advanced technology transistors use simplified empirical models to calculate effective thermal conductivity in the simulations. In this work, we present a dataset of size-dependent effective thermal conductivity with electron and phonon properties extracted from ab initio computations. Absolute in-plane and cross-plane thermal conductivity data of eight semiconducting materials (Si, Ge, GaN, AlN, 4H-SiC, GaAs, InAs, BAs) and four metallic materials (Al, W, TiN, Ti) with the characteristic length ranging from 5 nm to 50 nm have been provided. Besides the absolute value, normalized effective thermal conductivity is also given, in case it needs to be used with updated bulk thermal conductivity in the future.

Authors

Institutions

Publication Details

Journal
Chinese Physics B
Published
2025-03-01
DOI
https://doi.org/10.1088/1674-1056/adbd13
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An ab initio dataset of size-dependent effective thermal conductivity for advanced technology transistors

Hua Bao, Ru Jia, Jiaxuan Xu, Yufei Sheng et al.
Chinese Physics B
Thermal properties of materials
article

An ab initio dataset of size-dependent effective thermal conductivity for advanced technology transistors

Hua Bao, Ru Jia, Jiaxuan Xu, Yufei Sheng, Yonglin Xia, Lei Li, Yue Hu, Yuanyuan Wang, Han Xie
article en

Abstract

Abstract As the size of transistors shrinks and power density increases, thermal simulation has become an indispensable part of the device design procedure. However, existing works for advanced technology transistors use simplified empirical models to calculate effective thermal conductivity in the simulations. In this work, we present a dataset of size-dependent effective thermal conductivity with electron and phonon properties extracted from ab initio computations. Absolute in-plane and cross-plane thermal conductivity data of eight semiconducting materials (Si, Ge, GaN, AlN, 4H-SiC, GaAs, InAs, BAs) and four metallic materials (Al, W, TiN, Ti) with the characteristic length ranging from 5 nm to 50 nm have been provided. Besides the absolute value, normalized effective thermal conductivity is also given, in case it needs to be used with updated bulk thermal conductivity in the future.

Chinese Physics BVol. 34(4)
Shanghai Polytechnic University (CN), China Three Gorges Corporation (China) (CN), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 97%
Thermal properties of materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.