Results 41 to 50 of about 1,489,241 (187)

Blue Phosphorene Dataset for Graph Neural Network Training

open access: yes, 2023
Four zip files include the blue phosphorene structures and their total energy evaluated by density functional theory or a Tersoff potential.
Aditya Koneru (15187488)   +3 more
core   +1 more source

Advancing Sensitivity in Guided-Wave Surface Plasmon Resonance Sensor through Integration of 2D BlueP/MoS2 Hybrid Layers

open access: yesBiosensors, 2023
The surface plasmon resonance (SPR) signal, generated from the Kretschmann configuration, has been developed as an effective detection technology in chemical and biological sensors. The sensitivity of SPR signals to changes in the surrounding media makes
Xixi Yuan, Leiming Wu, Yuwen Qin
doaj   +1 more source

Metastable Metallic Phase of a Bilayer Blue Phosphorene Induced by Interlayer Bonding and Intralayer Charge Redistributions

open access: yes, 2021
We have carried out diffusion Monte Carlo calculations for an A1B–1-stacked bilayer blue phosphorene to find that it undergoes a semiconductor–metal transition as the interlayer distance decreases.
Gwangyoung Lee (9567202)   +11 more
core   +1 more source

Ultra-strong anisotropic photo-responsivity of bilayer tellurene: a quantum transport and time-domain first principle study

open access: yesNanophotonics, 2019
Unlike traditional two-dimensional layered materials, tellurium (Te) shows its one-dimensional van der Waals structure and triggers intensive researches. Through a density functional theory coupled with the nonequilibrium Green’s function calculation, we
Gao Siyan, Sun Changqing, Zhang Xi
doaj   +1 more source

Uniaxial Strain-Induced Indirect-to-Direct Band Gap Transition in Blue Phosphorus [PDF]

open access: yesفیزیک کاربردی ایران
Two-dimensional blue phosphorus is a monolayer allotrope with a hexagonal lattice, a buckled structure, and a tunable band gap. In this study, the effects of uniaxial strain applied along the zigzag direction on the electronic and vibrational properties ...
Yawar Mohammadi
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

Effects of external electric field on the optical and electronic properties of blue phosphorene nanoribbons: A DFT study

open access: yes, 2017
Using first principles calculations we investigate the effect of external electric fields in the optical and electronic properties of blue-phosphorene nanoribbons.
Ospina D.A.   +3 more
core   +1 more source

Structural, electronic, and electromechanical properties of MoSSe/blue phosphorene heterobilayer

open access: yesAIP Advances, 2019
Two-dimensional (2D) materials attract considerable interest due to their outstanding electronic and mechanical properties. Although extensive efforts have been made on seeking of new kinds of 2D materials, individual ones can hardly offer all required ...
Xiaobao Li   +4 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

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam   +3 more
wiley   +1 more source

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