Two-dimensional wide band-gap nitride semiconductor GaN and AlN materials: properties, fabrication and applications

Z Wang, G Wang, X Liu, S Wang, T Wang… - Journal of Materials …, 2021 - pubs.rsc.org
Gallium nitride (GaN) and aluminium nitride (AlN), as the representatives of new-generation
wide band gap semiconductor materials, have become a hot spot in the semiconductor field …

Structures, properties and applications of two-dimensional metal nitrides: from nitride MXene to other metal nitrides

F Zheng, X **ao, J **e, L Zhou, Y Li, H Dong - 2D Materials, 2022 - iopscience.iop.org
Abstract The two-dimensional (2D) metal nitrides (MNs), including group IIA nitrides, group
IIIA nitrides, nitride MXene and other transition metal nitrides (TMNs), exhibit unique …

Janus two-dimensional transition metal dichalcogenide oxides: First-principles investigation of monolayers with , Se, and Te

MJ Varjovi, M Yagmurcukardes, FM Peeters, E Durgun - Physical Review B, 2021 - APS
Structural symmetry breaking in two-dimensional materials can lead to superior physical
properties and introduce an additional degree of piezoelectricity. In the present paper, we …

High‐throughput discovery of novel cubic crystal materials using deep generative neural networks

Y Zhao, M Al‐Fahdi, M Hu, EMD Siriwardane… - Advanced …, 2021 - Wiley Online Library
High‐throughput screening has become one of the major strategies for the discovery of
novel functional materials. However, its effectiveness is severely limited by the lack of …

Thermal conductivity of polydisperse hexagonal BN/polyimide composites: Iterative EMT model and machine learning based on first principles investigation

D Ding, M Zou, X Wang, G Qin, S Zhang… - Chemical Engineering …, 2022 - Elsevier
Demand for thermal management materials (TMMs) with efficient in-plane heat dissipation
has grown with the advancement of intelligent wireless communication equipment. Herein …

A machine learning study on high thermal conductivity assisted to discover chalcogenides with balanced infrared nonlinear optical performance

Q Wu, L Kang, Z Lin - Advanced Materials, 2024 - Wiley Online Library
Exploration of novel nonlinear optical (NLO) chalcogenides with high laser‐induced
damage thresholds (LIDT) is critical for mid‐infrared (mid‐IR) solid‐state laser applications …

Predicting lattice thermal conductivity from fundamental material properties using machine learning techniques

G Qin, Y Wei, L Yu, J Xu, J Ojih… - Journal of Materials …, 2023 - pubs.rsc.org
High-throughput screening and material informatics have shown a great power in the
discovery of novel materials, including batteries, high entropy alloys, and photocatalysts …

Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

A Rodriguez, C Lin, C Shen, K Yuan… - Communications …, 2023 - nature.com
Although first principles based anharmonic lattice dynamics is one of the most common
methods to obtain phonon properties, such method is impractical for high-throughput search …

Negative Poisson's ratio in two-dimensional honeycomb structures

G Qin, Z Qin - npj Computational Materials, 2020 - nature.com
Negative Poisson's ratio (NPR) in auxetic materials is of great interest due to the typically
enhanced mechanical properties, which enables plenty of novel applications. In this paper …

2D AlN layers sandwiched between graphene and Si substrates

W Wang, Y Zheng, X Li, Y Li, H Zhao… - Advanced …, 2019 - Wiley Online Library
Due to the superior thickness‐dependent properties, 2D materials have exhibited great
potential for applications in next‐generation optoelectronic devices. Despite the significant …