Thermal Transport Modeling Of Semiconductor Materials From First Principles

Over the past few years, the size of semiconductor devices has been shrinking whereas the density of transistors has exponentially increased. Thus, thermal management has become a serious concern as device performance and reliability is greatly affected by heat. An understanding of thermal transport...

Full description

Bibliographic Details
Main Author: Qureshi, Aliya
Format: Others
Published: ScholarWorks@UMass Amherst 2020
Subjects:
Online Access:https://scholarworks.umass.edu/masters_theses_2/945
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1996&context=masters_theses_2
id ndltd-UMASS-oai-scholarworks.umass.edu-masters_theses_2-1996
record_format oai_dc
spelling ndltd-UMASS-oai-scholarworks.umass.edu-masters_theses_2-19962021-09-09T17:23:18Z Thermal Transport Modeling Of Semiconductor Materials From First Principles Qureshi, Aliya Over the past few years, the size of semiconductor devices has been shrinking whereas the density of transistors has exponentially increased. Thus, thermal management has become a serious concern as device performance and reliability is greatly affected by heat. An understanding of thermal transport properties at device level along with predictive modelling can lead us to design of new systems and materials tailored according to the thermal conductivity. In our work we first review different models used to calculate thermal conductivity and examine their accuracy using the experimentally measured thermal conductivity for Si. Our results suggest that empirically calculated rates used in thermal conductivity calculations do not capture the scaling behavior for three phonon scattering mechanism properly. This directly affects the estimation of the thermal conductivity and therefore we need to capture them more accurately. Also, we observe that at low temperature the Callaway and the improved Callaway model show good agreement where boundary scattering is dominant, whereas at high temperature iterative and RTA models show good agreement where three-phonon scattering is dominant. Therefore, their lies a need for a model which can characterize K properly at low and high temperature. Second, we then calculate the three phonon scattering rates using first-principles and combine them into the Callaway model. Through our work we successfully build a hybrid model which can be used to describe thermal conductivity of Si for a temperature range of 10K to 425K which captures the thermal conductivity accurately. We also show that in case of Si the improved Callaway model and Callaway model both perform equally well. 2020-08-27T19:48:59Z text application/pdf https://scholarworks.umass.edu/masters_theses_2/945 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1996&context=masters_theses_2 Masters Theses ScholarWorks@UMass Amherst First-Principles Normal Scattering Umklapp Scattering Thermal Conductivity Semiconductor Nanotechnology Electrical and Computer Engineering Electronic Devices and Semiconductor Manufacturing Nanotechnology Fabrication Semiconductor and Optical Materials
collection NDLTD
format Others
sources NDLTD
topic First-Principles
Normal Scattering
Umklapp Scattering
Thermal Conductivity
Semiconductor
Nanotechnology
Electrical and Computer Engineering
Electronic Devices and Semiconductor Manufacturing
Nanotechnology Fabrication
Semiconductor and Optical Materials
spellingShingle First-Principles
Normal Scattering
Umklapp Scattering
Thermal Conductivity
Semiconductor
Nanotechnology
Electrical and Computer Engineering
Electronic Devices and Semiconductor Manufacturing
Nanotechnology Fabrication
Semiconductor and Optical Materials
Qureshi, Aliya
Thermal Transport Modeling Of Semiconductor Materials From First Principles
description Over the past few years, the size of semiconductor devices has been shrinking whereas the density of transistors has exponentially increased. Thus, thermal management has become a serious concern as device performance and reliability is greatly affected by heat. An understanding of thermal transport properties at device level along with predictive modelling can lead us to design of new systems and materials tailored according to the thermal conductivity. In our work we first review different models used to calculate thermal conductivity and examine their accuracy using the experimentally measured thermal conductivity for Si. Our results suggest that empirically calculated rates used in thermal conductivity calculations do not capture the scaling behavior for three phonon scattering mechanism properly. This directly affects the estimation of the thermal conductivity and therefore we need to capture them more accurately. Also, we observe that at low temperature the Callaway and the improved Callaway model show good agreement where boundary scattering is dominant, whereas at high temperature iterative and RTA models show good agreement where three-phonon scattering is dominant. Therefore, their lies a need for a model which can characterize K properly at low and high temperature. Second, we then calculate the three phonon scattering rates using first-principles and combine them into the Callaway model. Through our work we successfully build a hybrid model which can be used to describe thermal conductivity of Si for a temperature range of 10K to 425K which captures the thermal conductivity accurately. We also show that in case of Si the improved Callaway model and Callaway model both perform equally well.
author Qureshi, Aliya
author_facet Qureshi, Aliya
author_sort Qureshi, Aliya
title Thermal Transport Modeling Of Semiconductor Materials From First Principles
title_short Thermal Transport Modeling Of Semiconductor Materials From First Principles
title_full Thermal Transport Modeling Of Semiconductor Materials From First Principles
title_fullStr Thermal Transport Modeling Of Semiconductor Materials From First Principles
title_full_unstemmed Thermal Transport Modeling Of Semiconductor Materials From First Principles
title_sort thermal transport modeling of semiconductor materials from first principles
publisher ScholarWorks@UMass Amherst
publishDate 2020
url https://scholarworks.umass.edu/masters_theses_2/945
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1996&context=masters_theses_2
work_keys_str_mv AT qureshialiya thermaltransportmodelingofsemiconductormaterialsfromfirstprinciples
_version_ 1719479215310503936