In the last few years, much attention has been paid to the exotic properties that graphene nanostructures exhibit, especially those emerging upon deforming the material. Here we present a study of the mechanical and electronic properties of bent hexagonal graphene quantum dots employing density functional theory. We explore three different kinds of surfaces with Gaussian curvature exhibiting different shapes-spherical, cylindrical, and one-sheet hyperboloid-used to bend the material, and several boundary conditions regarding what atoms are forced to lay on the chosen surface. In each case, we study the curvature energy and two quantum regeneration times (classic and revival) for different values of the curvature radius. A strong correlation between Gaussian curvature and these regeneration times is found, and a special divergence is observed for the revival time for the hyperboloid case, probably related to the pseudo-magnetic field generated by this curvature being capable of causing a phase transition.
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http://dx.doi.org/10.3390/nano13010095 | DOI Listing |
J Comput Chem
January 2025
Scuola Superiore Meridionale, Napoli, Italy.
Light-driven molecular rotary motors are nanometric machines able to convert light into unidirectional motions. Several types of molecular motors have been developed to better respond to light stimuli, opening new avenues for developing smart materials ranging from nanomedicine to robotics. They have great importance in the scientific research across various disciplines, but a detailed comprehension of the underlying ultrafast photophysics immediately after photo-excitation, that is, Franck-Condon region characterization, is not fully achieved yet.
View Article and Find Full Text PDFPlants (Basel)
December 2024
School of Data Science and Artificial Intelligence, Jilin Engineering Normal University, Changchun 130052, China.
The precise identification of maize kernel varieties is essential for germplasm resource management, genetic diversity conservation, and the optimization of agricultural production. To address the need for rapid and non-destructive variety identification, this study developed a novel interpretable machine learning approach that integrates low-field nuclear magnetic resonance (LF-NMR) with morphological image features through an optimized support vector machine (SVM) framework. First, LF-NMR signals were obtained from eleven maize kernel varieties, and ten key features were extracted from the transverse relaxation decay curves.
View Article and Find Full Text PDFMicromachines (Basel)
November 2024
Center for Precision Engineering, Harbin Institute of Technology, Harbin 150001, China.
Over the past 30 years, researchers have developed X-ray-focusing telescopes by employing the principle of total reflection in thin metal films. The Wolter-I focusing mirror with variable-curvature surfaces demands high precision. However, there has been limited investigation into the removal mechanisms for variable-curvature X-ray mandrels, which are crucial for achieving the desired surface roughness and form accuracy, especially in reducing mid-spatial frequency (MSF) errors.
View Article and Find Full Text PDFAm J Ophthalmol
December 2024
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. Electronic address:
Purpose: To investigate the ability to quantify fundus curvature and detect posterior staphyloma using widefield optical coherence tomography (OCT).
Design: Cross-sectional diagnostic evaluation.
Subjects And Participants: 205 highly myopic eyes of 205 participants.
ACS Appl Mater Interfaces
January 2025
Materials Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar 382055, India.
Nanoparticles have been of significant interest in various biomedical domains such as drug delivery, gene delivery, cytotoxicity analysis, and imaging. Despite the synthesis of a variety of nanoparticles, their cellular uptake efficiency remains a substantial obstacle, with only a small fraction of delivered nanoparticles (NPs) have been reported to traverse the cell membrane within 24 h. Consequently, higher doses are often necessitated, leading to increased toxicity concerns.
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