A new complex, namely bis-[4'-(furan-2-yl)-2,2':6',2''-terpyridine]-nickel(II) dichloride deca-hydrate, [Ni(CHNO)]Cl·10HO, has been crystallized by solvent evaporation and characterized by single-crystal X-ray diffraction. The coordination environment of the Ni cation is distorted octa-hedral with slight deviations from an idealized geometry. The most intriguing structural feature is an infinite two-dimensional hybrid water-chloride network parallel to (011) constructed by O-H⋯O and O-H⋯Cl hydrogen bonds involving two independent chloride ions and ten independent solvent water mol-ecules with an l-shaped pattern. One of the furyl rings is disordered with a refined occupancy ratio of 0.786 (13):0.214 (13).
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http://dx.doi.org/10.1107/S2056989017007095 | DOI Listing |
Materials (Basel)
December 2024
Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
A new methodology based on the Hamieh thermal model was applied for the determination of the surface properties of solid surfaces. The new approach consisted of the accurate quantification of the London dispersive surface energy of materials using the two-dimensional inverse gas chromatography technique at infinite dilution. This technique used the notion of the net retention volume of adsorbed molecules on the solid catalysts, allowing the determination of the free energy of adsorption.
View Article and Find Full Text PDFPhys Rev E
November 2024
Department of General Physics, The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," Kyiv, Ukraine and Institute for Information Recording, NAS of Ukraine, Mykoly Shpaka Street 2, 03113 Kiev, Ukraine.
Structure changes or transitions are common in growing networks (complex networks, graphs, etc.) and must be precisely determined. The introduced quantitative measure of the structural complexity of the network based on a procedure similar to the renormalization process allows one to reveal such changes.
View Article and Find Full Text PDFPhys Rev E
November 2024
Data Science Research Center, Kunming University of Science and Technology, 727 South Jingming Road, Kunming 650500, China and Faculty of Science, Kunming University of Science and Technology, 727 South Jingming Road, Kunming 650500, China.
The cross-entropy loss function is widely used in machine learning to measure the performance of a classification model. Interestingly, our study find that this function has scaling behavior when deep neural networks are used to investigate percolation models. Specifically, we use convolutional neural networks with different pooling methods to study the site percolation on square lattices under two labeling methods (labeling based on spanning cluster and the exact solution of the critical point).
View Article and Find Full Text PDFAccid Anal Prev
December 2024
School of Mathematical Sciences, Beihang University, Beijing 100191, China.
Driving behavior is crucial in shaping traffic dynamics and serves as the foundation for safe and efficient autonomous driving. Despite the widespread interest in driving behavior modeling, existing models often focus on specific behaviors and cannot describe all types of vehicle movements, while vehicle status and driving scenarios are dynamic and infinite. That means comprehending and modeling generalized driving behavior mechanisms is essential.
View Article and Find Full Text PDFJ Chem Phys
December 2024
Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli," Via Roma 29, 81031 Aversa, Italy.
I studied the ground state properties and phase behavior of a two-dimensional lattice gas in which hard-core particles can have at most one nearest neighboring occupied site on the square lattice. Monte Carlo simulations in the grand-canonical ensemble showed no apparent signature of singular thermodynamic behavior when the chemical potential was increased. The absence of an ordering phase transition is traced to the large number of ground state configurations the model is endowed, which is due to the impossibility of satisfying simultaneously closest packing around a vacancy and around a particle.
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