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Title: Genetic Algorithm Crystal Optimization in a Chiral Tetramer Model System
Contributors: Debenedetti, Pablo G.
Stillinger, Frank H.
Petsev, Nikolai D.
Nikoubashman, Arash
Latinwo, Folarin
Keywords: genetic algorithms
Issue Date: 8-Aug-2022
Publisher: Princeton University
Abstract: Source code for our genetic algorithm optimization investigation of conglomerate and racemic chiral crystals. In this work, we address challenges in determining the stable structures formed by chiral molecules by applying the framework of genetic algorithms to predict the ground state crystal lattices formed by a chiral tetramer model. Using this code, we explore the relative stability and structures of the model’s conglomerate and racemic crystals, and extract a structural phase diagram for the stable Bravais crystal types in the zero-temperature limit.
Referenced By: Currently undergoing peer-review
Appears in Collections:Research Data Sets

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README_GeneticAlgorithmCrystalOptimization-ChiralTetramerModelSystem.txt7.55 kBTextView/Download
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