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Cover image for Nanoscale energy transport and harvesting : a computational sStudy
Title:
Nanoscale energy transport and harvesting : a computational sStudy
Publication Information:
Singapore : Pan Stanford Publishing, 2015
Physical Description:
xiii, 215 p. : ill. ; 24 cm.
ISBN:
9789814463027
Abstract:
Energy transport and conversion in nanoscale structures is a rapidly expanding area of science. It looks set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic over the coming years. Owing to the difficulty in experimental measurement, computational simulation has become a powerful tool in the study of nanoscale energy transport and harvesting. This book provides an introduction to the current computational technology and discusses the applications of nanostructures in renewable energy and the associated research topics. It will be useful for theorists, experimentalists, and graduate-level students who want to explore this new field of research. The book addresses the currently used computational technologies and their applications in study of nanoscale energy transport and conversion. With content relevant to both academic and commercial viewpoints, it will interest researchers and postgraduates as well as consultants in the renewable energy industry.
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30000010341916 TA418.9.N35 N3668 2015 Open Access Book Book
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Summary

Summary

Energy transport and conversion in nanoscale structures is a rapidly expanding area of science. It looks set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic over the coming years. Owing to the difficulty in experimental measurement, computational simulation has become a powerful tool in the study of nanoscale energy transport and harvesting.

This book provides an introduction to the current computational technology and discusses the applications of nanostructures in renewable energy and the associated research topics. It will be useful for theorists, experimentalists, and graduate-level students who want to explore this new field of research. The book addresses the currently used computational technologies and their applications in study of nanoscale energy transport and conversion. With content relevant to both academic and commercial viewpoints, it will interest researchers and postgraduates as well as consultants in the renewable energy industry.


Author Notes

Prof. Gang Zhang is senior scientist and group manager in the Institute of High Performance Computing, Aast;STAR, Singapore. Before joining the IHPC, he was a full professor at Peking University, China. He received his BS and PhD in physics from Tsinghua University in 1998 and 2002, respectively. He is a world-recognized expert in the electrical and thermal property simulation of nanomaterials. He developed several novel approaches for molecular dynamic and quantum chemistry simulations. He has authored or co-authored more than 10 invited reviews and book chapters. His research has gained him international recognition and media highlight. He is the recipient of the Outstanding Ph.D. Thesis Award in Tsinghua University (2002), Singapore Millennium Foundation Fellowship (2002 2004), IME Excellence Award (2008), and Excellence Award in Computational Physics, Chinese Physical Society (2012 Autumn Meeting).


Table of Contents

Jie Chen and Gang Zhang and Baowen LiTakahiro Yamamoto and Kenji Sasooka and Satoshi WotanabeYong Xu and Wenhui DuanZhong-Xiang Xie and Ke-Qiu ChenHai-Peng Li and Rui-Qin Zhang
Prefacep. ix
1 Molecular Dynamics Simulations for Computing Thermal Conductivity of Nanomaterialsp. 1
1.1 Introduction to Molecular Dynamicsp. 1
1.2 Force Field Potentialp. 4
1.2.1 Pair Potentialp. 4
1.2.2 Many-Body Potentialp. 6
1.2.3 Mixing Rulep. 8
1.3 Integration of the Equations of Motionp. 8
1.4 Temperature in Molecular Dynamicsp. 10
1.4.1 Heat Bathp. 10
1.4.2 Quantum Correctionp. 11
1.5 Non-equilibrium Molecular Dynamicsp. 15
1.5.1 Backgroundp. 15
1.5.2 Effects of Heat Bathp. 18
1.5.3 Some Applicationsp. 27
1.6 Equilibrium Molecular Dynamicsp. 32
1.6.1 Green-Kubo Formulap. 32
1.6.2 Different Implementationsp. 36
1.6.3 Determination of Cut-Off Timep. 41
1.6.4 Some Applicationsp. 44
2 Non-equilibrium Phonon Green's Function Simulation and Its Application to Carbon Nanotubesp. 59
2.1 Introduction: Thermal Transport at Nanoscalep. 59
2.2 Theory of Nanoscale Phonon Transportp. 60
2.2.1 Landauer Theory of Phonon Transportp. 60
2.2.2 Ballistic Phonon Transport and Quantization of Thermal Conductancep. 63
2.2.3 Non-equilibrium Green's Function Method for Phonon Transportp. 65
2.3 Application of Landauer-NEGF Method to Carbon Nanotubep. 70
2.3.1 Phonons in Carbon Nanotubep. 70
2.3.2 Thermal Conductance Reduction by Defect Scatteringp. 72
2.3.3 Isotope Effects on Thermal Transport in Carbon Nanotubesp. 76
2.3.3.1 Characteristic lengths: mean free path and localization lengthp. 76
2.3.3.2 Universal phonon-transmission fluctuationp. 79
2.3.3.3 Anderson localization of phononsp. 80
2.4 Concluding Remarksp. 81
3 Thermal Conduction of Graphenep. 91
3.1 Basic Concepts of Quantum Thermal Transportp. 91
3.1.1 Thermal-Transport Carriersp. 91
3.1.2 Fundamental Length Scales of Thermal Transportp. 92
3.1.2.1 The characteristic wavelength of phonon ¿p. 92
3.1.2.2 The phonon mean free path lp. 92
3.1.3 Different Transport Regionsp. 94
3.1.4 The Landauer Formalismp. 94
3.1.5 Quantized Thermal Conductancep. 96
3.2 The Non-equilibrium Green's Function Methodp. 98
3.2.1 Hamiltonian of Thermal-Transport Systemsp. 98
3.2.2 The NEGF Formalismp. 100
3.2.2.1 Six real-time Green's functionsp. 101
3.2.2.2 The Dyson equationp. 103
3.2.2.3 Basic equations of NEGFp. 103
3.2.2.4 Work flow of NEGFp. 105
3.2.3 NEGF and Thermal-Transport Propertiesp. 106
3.2.3.1 Phonon DOSp. 107
3.2.3.2 Thermal currentp. 108
3.2.4 Thermal Conductance and Phonon Transmissionp. 109
3.2.5 The NEGF Method and the Landauer Formalismp. 110
3.2.6 First-Principles-Based NEGFp. 111
3.3 Thermal Conduction of Graphene: Experimentp. 112
3.4 Thermal Conduction of Graphene: Theoryp. 115
3.4.1 Graphene Nanoribbonsp. 116
3.4.2 Origin of High Thermal Conductivity in Graphenep. 124
3.4.2.1 Ballistic thermal conductance of graphenep. 125
3.4.2.2 Long phonon mean free path in graphenep. 129
3.4.3 Thermal Transport in Graphene-Based Devicesp. 130
3.4.3.1 Contact geometryp. 134
3.4.3.2 Ribbon widthp. 135
3.4.3.3 Edge shapep. 140
3.4.3.4 Connection anglep. 141
3.4.3.5 Graphene quantum dotsp. 141
4 Ballistic Thermal Transport by Phonons at Low Temperatures in Low-Dimensional Quantum Structuresp. 149
4.1 Introductionp. 150
4.2 Formalismp. 153
4.2.1 Landauer Formula for the Thermal Conductancep. 153
4.2.2 Continuum Elastic Modelp. 156
4.2.3 Scattering-Matrix Methodp. 158
4.3 Properties of Low-Temperature Ballistic Thermal Transport by Phonons in Low-Dimensional Quantum Structuresp. 170
4.3.1 Properties of Ballistic Thermal Transport in 2D Quantum Structuresp. 170
4.3.2 Ballistic Thermal-Transport Properties in 2D Three-Terminal Quantum Structuresp. 176
4.3.3 Properties of Ballistic Thermal Transport in 3D Quantum Structuresp. 178
4.3.4 Ballistic Thermal Transport Contributed by the Coupled P-SV Waves in Low-Dimensional Quantum Structuresp. 180
4.4 Summaryp. 180
5 Surface Functionalization-Induced Thermal Conductivity Attenuation in Silicon Nanowires: A Molecular Dynamics Studyp. 189
5.1 Introductionp. 190
5.2 Model and Methodp. 193
5.2.1 Structural Modelp. 193
5.2.2 Green-Kubo MD Methodp. 194
5.3 Surface Hydrogenation Effect on the Thermal Conductivity of SiNWsp. 196
5.4 Surface Nitrogenation Effect on the Thermal Conductivity of SiNWsp. 198
5.5 Conclusions and Remarksp. 201
Indexp. 207
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