Nanotechnology has opened numerous ways for physically realizing very sophisticated nanodevices that can be fabricated exclusively using molecular engineering methods. However, the synthesis procedures that lead to the production of nanodevices are usually complicated and time consuming. For this reason, the destination materials should be well designed. Therefore, numerical simulations can be invaluable. In this work, we present numerical simulations of the magnetic behaviour of magnetic units shaped into nanometric strips as a low dimensional layout that can be used as nano-systems of combinatorial logic. We showed that magnetic layouts that contain fewer than 16 magnetic units can take on a specific configuration as a response to the input magnetic field. Such configuration can be treated as an output binary word. The layouts that contained various numbers of magnetic units showed different switching characteristics (utterly different order of inverting of strips' magnetic moments), thus creating numerous combinations of the output binary words in response to the analog magnetic signal. The number of possible output binary words can be increased even more by adding parameters--the system's initial magnetic configuration. The physical realization of the model presented here can be used as a very simple and yet effective encryption device that is based on nanometric arrays of magnetic units rather than an integrated circuit. The same information, provided by the proposed system, can be utilized for the construction of a nano-sensor for measuring of magnetic field with the possibility of checking also the history of magnetization.
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http://dx.doi.org/10.3390/ma14112974 | DOI Listing |
Dalton Trans
January 2025
School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, Jiangsu, China.
Five alkali metal manganese(III) fluorophosphates, KMn(POF)F (I), RbMn(POF)F (II), RbMn(POF)(PO)F (III), RbMn(POF)(PO)F (IV), and CsMn(POF)F (V), were successfully synthesized using a hydrothermal method. The monofluorophosphate anion (POF) groups work as "chemical scissors" to promote low-dimensional spin structures with the aid of alkali metal cations. I and II had an = 2 uniform chain structure formed by corner-sharing -MnOF octahedra.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Pushchino Scientific Center for Biological Research, Russian Academy of Sciences, Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino, Moscow Region, 142290, Russia.
VKM Ac-1390 (family Microbacteriaceae, class Actinomycetes) contains three rhamnose-containing glycopolymers in the cell wall, the structures of which were established by chemical and NMR spectroscopy methods. The first polymer, a rhamnomannan, consists of repeating tetrasaccharide units with xylopyranose side residues, →2)-α-[β-D-Xyl-(1→3)]-D-Rha-(1→3)-α-D-Man-(1→2)-α-D-Rha-(1→3)-α-D-Man-(1→. The second polymer found in minor amounts, is a rhamnan, →2)-α-D-Rha-(1→3)-α-D-Rha-(1→.
View Article and Find Full Text PDFMagn Reson Imaging
January 2025
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.
Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that is widely used for high-resolution imaging of soft tissues and organs. However, the slow speed of MRI imaging, especially in high-resolution or dynamic scans, makes MRI reconstruction an important research topic. Currently, MRI reconstruction methods based on deep learning (DL) have garnered significant attention, and they improve the reconstruction quality by learning complex image features.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Laboratory for Heteroepitaxial Growth of Functional Materials & Devices, Department of Chemical & Biological Engineering, State University of New York (SUNY) at Buffalo, Buffalo, NY 14260, USA.
This study analyzes the calculation of the critical current density by means of Bean's critical state model, using the equation formulated by Gyorgy et al. and other similar equations derived from it reported in the literature. While estimations of using Bean's model are widely performed, improper use of different equations with different magnetic units and pre-factors leads to confusion and to significant errors in the reported values of .
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical Engineering, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
The current study uses the Chernobyl disaster optimizer (CDO), a new metaheuristic optimizer, to identify the seven unknown parameters of solid oxide fuel cells (SOFCs). The procedures of the CDO is based on physical behavior of the elaborated radiations from the well-known Chernobyl disaster according to their mass, speed, frequency, and degree of ionization. The sum of square errors (SMSE) among the estimated and the real measured output voltage datasets of SOFCs is minimized employing the CDO.
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