The distance of closest approach of hard particles is a key parameter of their interaction and plays an important role in the resulting phase behavior. For nonspherical particles, the distance of closest approach depends on orientation, and its calculation is surprisingly difficult. Although overlap criteria have been developed for use in computer simulations [Vieillard-Baron, J. Chem. Phys. 56, 4729 (1972); Perram and Wertheim, J. Comput. Phys. 58, 409 (1985)], no analytic solutions have been obtained for the distance of closest approach of ellipsoids in three dimensions, or, until now, for ellipses in two dimensions. We have derived an analytic expression for the distance of closest approach of the centers of two arbitrary hard ellipses as a function of their orientation relative to the line joining their centers. We describe our method for solving this problem, illustrate our result, and discuss its usefulness in modeling and simulating systems of anisometric particles such as liquid crystals.
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http://dx.doi.org/10.1103/PhysRevE.75.061709 | DOI Listing |
Commun Psychol
December 2024
Department of Psychology, Georgetown University, Washington, DC, USA.
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View Article and Find Full Text PDFCurr Issues Mol Biol
December 2024
College of Forestry, Inner Mongolia Agricultural University, Hohhot 010019, China.
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View Article and Find Full Text PDFAlgorithms Mol Biol
December 2024
Instituto de Computação, Universidade Federal Fluminense, Niterói, Brazil.
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View Article and Find Full Text PDFAm J Trop Med Hyg
December 2024
Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida.
Brucellosis remains an endemic disease in livestock populations in Rwanda, but the prevalence of the disease varies by geographic region. The common use of informal milk marketing channels represents a health hazard to humans when milk from Brucella-infected cows from one or more households is mixed with milk from other households for human consumption. In Rwanda, knowledge about the burden of brucellosis in livestock and factors associated with farmers' choice of milk marketing channels is very limited.
View Article and Find Full Text PDFDesigning dental crowns with computer-aided design software in dental laboratories is complex and time-consuming. Using real clinical datasets, we developed an end-to-end deep learning model that automatically generates personalized dental crown meshes. The input context includes the prepared tooth, its adjacent teeth, and the two closest teeth in the opposing jaw.
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