We report a local mapping photoresponse of WSe using a second-harmonic (2w) channel based on nondestructive electrostatic force microscopy (EFM). The 2w signals resulting from interaction between WSe and EFM tip are intrinsically related to the electrical conductivity of WSe. The photoresponse images and rise/decay time constants of WSe are obtained by local mapping 2w signals under illumination. We observe that the local photoresponse signals of WSe increase with the positive tip gate voltage while the WSe shows a p-type behavior in dark conditions We find that the reduced mobility of the photogenerated charge carriers resulting from the enhanced carrier scattering in the accumulation regime of WSe is responsible for the gate-dependent photoresponse behavior. Our results provide a deep understanding the intrinsic optoelectrical properties of WSe and contribute to the developments in the optoelectronic devices based on van der Waals layered materials.
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http://dx.doi.org/10.1016/j.ultramic.2022.113590 | DOI Listing |
ACS Nano
January 2025
Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou 215123, P. R. China.
Knowledge of localized strain at the micrometer scale is essential for tailoring the electrical and mechanical properties of ongoing thinning of crystal silicon (c-Si) solar cells. Thinning c-Si wafers below 110 m are susceptible to cracking in manufacturing due to the nonuniform stress distribution at a micrometer region, necessitating a rigorous technique to reveal the localized stress distribution correlating with its device electrical output. In this context, a Raman microscopy integrated with a photovoltage mapping setup with high resolution to the submicrometer scale is developed to acquire correlative Raman-voltage of the localized physical properties at the microcracks on the rear side of c-Si solar cells.
View Article and Find Full Text PDFJ Neurosurg
January 2025
1Department of Bioengineering, George Mason University, Fairfax, Virginia.
Objective: The complex mix of factors, including hemodynamic forces and wall remodeling mechanisms, that drive intracranial aneurysm growth is unclear. This study focuses on the specific regions within aneurysm walls where growth occurs and their relationship to the prevalent hemodynamic conditions to reveal critical mechanisms leading to enlargement.
Methods: The authors examined hemodynamic models of 67 longitudinally followed aneurysms, identifying 88 growth regions.
Small Methods
January 2025
Forschungszentrum Juelich GmbH, Institute of Energy Technologies, IET-4, Electrochemical Process Engineering, 52425, Juelich, Germany.
Understanding the sheet resistance of porous electrodes is essential for improving the performance of polymer electrolyte membrane (PEM) water electrolyzers and related technologies. Despite its importance, existing methods often fail to provide reliable and comprehensive data, especially for porous materials with complex morphologies and non-uniform thicknesses. This study introduces a robust and straightforward method for determining the sheet resistance of porous electrodes using a novel probe concept based on industrial printed circuit board (PCB) technology.
View Article and Find Full Text PDFTrop Med Infect Dis
December 2024
School of Population Health, Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia.
Background: Drug-resistant tuberculosis (DR-TB) remains a major public health challenge in China, with varying treatment outcomes across different regions. Understanding the spatial distribution of DR-TB treatment outcomes is crucial for targeted interventions to improve treatment success in high-burden areas such as Hunan Province. This study aimed to map the spatial distribution of DR-TB treatment outcomes at a local level and identify sociodemographic and environmental factors associated with poor treatment outcomes in Hunan Province, China.
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
Laboratory for Robot Mobility Localization and Scene Deep Learning Technology, Guizhou Equipment Manufacturing Polytechnic, Guiyang 550025, China.
In recent years, unmanned aerial vehicle (UAV) technology has advanced significantly, enabling its widespread use in critical applications such as surveillance, search and rescue, and environmental monitoring. However, planning reliable, safe, and economical paths for UAVs in real-world environments remains a significant challenge. In this paper, we propose a multi-strategy improved red-tailed hawk (IRTH) algorithm for UAV path planning in real environments.
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