Review on Interfacial Metallurgy and Joining Mechanism of Homogeneous and Heterogeneous Nanoscale Material Interconnection

2021 ◽  
Vol 48 (8) ◽  
pp. 0802002
Author(s):  
张宏强 Zhang Hongqiang ◽  
林路禅 Lin Luchan ◽  
邢松龄 Xing Songling ◽  
白海林 Bai Hailin ◽  
彭鹏 Peng Peng ◽  
...  
Keyword(s):  
Nanoscale Material

Lattice Thermal Conductivity Modelling of a Diatomic Nanoscale Material

2020 ◽  
Vol 10 (5) ◽  
pp. 602-609
Author(s):  
Adil H. Awad
Keyword(s):  
Thermal Conductivity ◽  
Lattice Thermal Conductivity ◽  
Phonon Scattering ◽  
Correction Term ◽  
Nanoscale Material ◽  
New Approach ◽  
Two Samples ◽  
Conductivity Modelling ◽  
Callaway Model

Introduction: A new approach for expressing the lattice thermal conductivity of diatomic nanoscale materials is developed. Methods: The lattice thermal conductivity of two samples of GaAs nanobeam at 4-100K is calculated on the basis of monatomic dispersion relation. Phonons are scattered by nanobeam boundaries, point defects and other phonons via normal and Umklapp processes. Methods: A comparative study of the results of the present analysis and those obtained using Callaway formula is performed. We clearly demonstrate the importance of the utilised scattering mechanisms in lattice thermal conductivity by addressing the separate role of the phonon scattering relaxation rate. The formulas derived from the correction term are also presented, and their difference from Callaway model is evident. Furthermore their percentage contribution is sufficiently small to be neglected in calculating lattice thermal conductivity. Conclusion: Our model is successfully used to correlate the predicted lattice thermal conductivity with that of the experimental observation.

An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material

2014 ◽  
Vol 44 ◽  
pp. 1-13 ◽  
Author(s):  
A. Garg ◽  
V. Vijayaraghavan ◽  
C.H. Wong ◽  
K. Tai ◽  
Liang Gao
Keyword(s):  
Thermal Conductivity ◽  
Simulation Approach ◽  
Nanoscale Material

Multiphase Phase-Field Approach for Virtual Melting: A Brief Review

2021 ◽  
Vol 18 (2) ◽  
pp. 102-107
Author(s):  
Arunabha Mohan Roy
Keyword(s):  
Phase Transformations ◽  
Phase Field ◽  
Field Model ◽  
Solid Phase ◽  
Scale Effects ◽  
Phase Field Model ◽  
Short Review ◽  
Nanoscale Material ◽  
Material Parameters ◽  
Field Approach

A short review on a thermodynamically consistent multiphase phase-field approach for virtual melting has been presented. The important outcomes of solid-solid phase transformations via intermediate melt have been discussed for HMX crystal. It is found out that two nanoscale material parameters and solid-melt barrier term in the phase-field model significantly affect the mechanism of PTs, induces nontrivial scale effects, and changes PTs behaviors at the nanoscale during virtual melting.

Examples of Implemented Technological Bio-Inspired Surfaces

2021 ◽  
pp. 259-293
Keyword(s):  
Biological Materials ◽  
Nanoscale Material ◽  
Multi Scale ◽  
The Past ◽  
Tribological Surfaces ◽  
Commercial Scale ◽  
Technological Means ◽  
Modification Of The Surface

This chapter examines the multi-scale nature of biological materials. It is shown that this characteristic motivated several design attempts within the field of tribological surfaces. These designs were not easy to implement because of a lack of technological means. Until the push for nanoscale material manipulation, many designs, although conceived and conceptually verified, were not technologically possible. The leap in technologies that matured within the past decade resurrected efforts to manufacture many discarded designs on a commercial scale. The material within this chapter presents samples of existing bio-inspired tribological surfaces. The examples are either a direct replica of the bio-analogue or represent a modification of the surface through a combination of chemical and geometrical changes.

Application of artificial intelligence technique for modelling elastic properties of 2D nanoscale material

2014 ◽  
Vol 41 (14) ◽  
pp. 1143-1152 ◽  
Author(s):  
A. Garg ◽  
V. Vijayaraghavan ◽  
C.H Wong ◽  
K. Tai ◽  
K. Sumithra ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Elastic Properties ◽  
Artificial Intelligence Technique ◽  
Nanoscale Material ◽  
Intelligence Technique

Cyclic cryopreservation affects the nanoscale material properties of trabecular bone

2014 ◽  
Vol 47 (14) ◽  
pp. 3584-3589 ◽  
Author(s):  
Alexander K. Landauer ◽  
Sumona Mondal ◽  
Philip A. Yuya ◽  
Laurel Kuxhaus
Keyword(s):  
Trabecular Bone ◽  
Material Properties ◽  
Nanoscale Material
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