The art of designing carbon allotropes
RS Zhang, JW Jiang - Frontiers of Physics, 2019 - Springer
Stimulated by the success of graphene and diamond, a variety of carbon allotropes have
been discovered in recent years in either two-dimensional or three-dimensional …
been discovered in recent years in either two-dimensional or three-dimensional …
T-carbon: Experiments, properties, potential applications and derivatives
XW Yi, Z Zhang, ZW Liao, XJ Dong, JY You, G Su - Nano Today, 2022 - Elsevier
T-carbon is a novel carbon allotrope with many appealing properties. Since the proposal of
T-carbon, there has been a lot of intensive studies devoted to its physical, chemical, optical …
T-carbon, there has been a lot of intensive studies devoted to its physical, chemical, optical …
Four-phonon scattering significantly reduces intrinsic thermal conductivity of solids
For decades, the three-phonon scattering process has been considered to govern thermal
transport in solids, while the role of higher-order four-phonon scattering has been …
transport in solids, while the role of higher-order four-phonon scattering has been …
First-principles calculations of the ultralow thermal conductivity in two-dimensional group-IV selenides
Through first-principles calculations, we report on the phonon-limited transport properties of
two-dimensional (2D) hexagonal MSe (M= Ge, Sn, and Pb) compounds, which can be seen …
two-dimensional (2D) hexagonal MSe (M= Ge, Sn, and Pb) compounds, which can be seen …
Strong four-phonon effects and anomalous thermal transport behavior in the monolayer group-IVB transition metal dichalcogenides
The discovery of strong four-phonon (4ph) interactions in boron arsenide has spurred
significant investigations into the influence of higher-order phonon anharmonic scattering on …
significant investigations into the influence of higher-order phonon anharmonic scattering on …
Anomalously temperature-dependent thermal conductivity of monolayer GaN with large deviations from the traditional law
Efficient heat dissipation, which is featured by high thermal conductivity, is one of the crucial
issues for the reliability and stability of nanodevices. However, due to the generally fast 1/T …
issues for the reliability and stability of nanodevices. However, due to the generally fast 1/T …
High-throughput computation of novel ternary B–C–N structures and carbon allotropes with electronic-level insights into superhard materials from machine learning
Discovering new materials with desired properties has been a dominant and crucial topic of
interest in the field of materials science in the past few decades. In this work, novel carbon …
interest in the field of materials science in the past few decades. In this work, novel carbon …
Low lattice thermal conductivity of two-dimensional monolayers of BxN (x= 2, 3, and 5) induced by complex bonding networks: A comparative study with h-BN
It is well known that different bonding networks could bring a wide variety of physical
properties to the materials although they hold analogous element and structure features. In …
properties to the materials although they hold analogous element and structure features. In …
Machine learning accelerated discovery of promising thermal energy storage materials with high heat capacity
Thermal energy storage offers numerous benefits by reducing energy consumption and
promoting the use of renewable energy sources. Thermal energy storage materials have …
promoting the use of renewable energy sources. Thermal energy storage materials have …
High-throughput computation of new carbon allotropes with diverse hybridization and ultrahigh hardness
The discovery of new carbon allotropes with different building blocks and crystal symmetries
has long been of great interest to broad materials science fields. Herein, we report several …
has long been of great interest to broad materials science fields. Herein, we report several …