A High-Throughput Framework for Materials Research And Space Group Determination Algorithm

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2012

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Curtarolo, Stefano

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Abstract

Effective computational materials search, categorization, and design necessitates a high-throughput (HT) approach. System by system analyses lack the scope and speed needed to uncover large portions of the materials landscape. By performing broad searches over structural or chemical classes of materials and guided by fundamental physical principles, materials with specific desired properties can be systematically found. Furthermore, the HT approach is an effective general tool for materials classification. Depending on the application, various properties can be computed leading to powerful classification schemes. To implement HT materials studies, however, a versatile and robust framework must first be developed. In this paper, the HT framework AFLOW that has been developed and used successfully over the last decade is presented. Specifically, attention is given to an origin-specific symmetry algorithm. The algorithm is designed to determine the relevant symmetry properties of an arbitrary crystal structure (e.g., point group, space group, etc.).

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Taylor, Richard Hansen (2012). A High-Throughput Framework for Materials Research And Space Group Determination Algorithm. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/5458.

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