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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 …
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
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 …
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
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 …
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
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 …
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
Demand for thermal management materials (TMMs) with efficient in-plane heat dissipation
has grown with the advancement of intelligent wireless communication equipment. Herein …
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
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 …
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
High-throughput screening and material informatics have shown a great power in the
discovery of novel materials, including batteries, high entropy alloys, and photocatalysts …
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
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 …
methods to obtain phonon properties, such method is impractical for high-throughput search …
Negative Poisson's ratio in two-dimensional honeycomb structures
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 …
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 …
potential for applications in next‐generation optoelectronic devices. Despite the significant …