Results 41 to 50 of about 4,037 (177)

Removal of Water-Soluble Inorganic Arsenicals with Phosphorene Oxide Nanoadsorbents: A First-Principles Study

open access: yes, 2021
A complete picture of the phosphorene oxide (PhosO) sorption properties for the simultaneous removal of inorganic As(III) and As(V) pollutants from water has been developed using first-principles calculations.
Diego, Cortes-Arriagada   +1 more
core   +1 more source

Tuning Electronic Properties of Blue Phosphorene/Graphene-Like GaN van der Waals Heterostructures by Vertical External Electric Field

open access: yesNanoscale Research Letters, 2019
The structural and electronic properties of a monolayer and bilayer blue phosphorene/graphene-like GaN van der Waals heterostructures are studied using first-principle calculations.
Jingjing Guo   +4 more
doaj   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

open access: yesAdvanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Phosphorene as a superior gas sensor: Selective adsorption and distinct i - V response

open access: yes, 2014
Recent reports on the fabrication of phosphorene, that is, mono- or few-layer black phosphorus, have raised exciting prospects of an outstanding two-dimensional (2D) material that exhibits excellent properties for nanodevice applications.
Chen, Changfeng   +5 more
core   +1 more source

Energy spectrums of bilayer triangular phosphorene quantum dots and antidots

open access: yesAIP Advances, 2017
We theoretically investigate the confined states of the bilayer triangular phosphorene dots and antidots by means of the tight-binding approach. The dependence of the energy levels on the size, the type of the boundary edges, and the orientation of the ...
Z. T. Jiang   +3 more
doaj   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Theoretical Description of the Physical/chemical Contributions Determining the Stability of Transition-Metal Doped Phosphorene Nanosheets

open access: yes, 2020
In this report, we explore the stability of doped-phosphorene nanosheets with first-row transition metals in the framework of density functional theory and by using a bonding characterization and energy decomposition ...
Kerry, Wrighton-Araneda   +2 more
core   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 more
wiley   +1 more source

Anisotropic moiré optical transitions in twisted monolayer/bilayer phosphorene heterostructures

open access: yesNature Communications, 2021
Twisted phosphorene offers another attractive system to explore moiré physics. Here, the authors report emerging anisotropic moiré optical resonances in twisted monolayer/bilayer phosphorene, exhibiting strong twist dependence for angles as large as 19°.
Shilong Zhao   +14 more
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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