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David Lonie

Researcher at University at Buffalo

Publications -  13
Citations -  6497

David Lonie is an academic researcher from University at Buffalo. The author has contributed to research in topics: Evolutionary algorithm & Visualization. The author has an hindex of 9, co-authored 13 publications receiving 4556 citations. Previous affiliations of David Lonie include State University of New York System & Kitware.

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Avogadro: an advanced semantic chemical editor, visualization, and analysis platform

TL;DR: The work presented here details the Avogadro library, which is a framework providing a code library and application programming interface (API) with three-dimensional visualization capabilities; and has direct applications to research and education in the fields of chemistry, physics, materials science, and biology.
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XtalOpt: An Open-Source Evolutionary Algorithm for Crystal Structure Prediction

TL;DR: It is demonstrated that hybrid operators, which combine two pure operators, reduce the number of duplicate structures in the search, which allows for better exploration of the potential energy surface of the system in question, while simultaneously zooming in on the most promising regions.
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Metallization of magnesium polyhydrides under pressure

TL;DR: In this article, evolutionary structure searches are used to predict stable phases with unique stoichiometries in the hydrogen-rich region of the magnesium/hydrogen phase diagram under pressure.
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Identifying duplicate crystal structures: XtalComp, an open-source solution

TL;DR: The algorithm has been tested and found to correctly identify duplicate structures in spite of the “real-world” difficulties that arise from working with numeric crystal representations: degenerate unit cell lattices, numerical noise, periodic boundaries, and the lack of a canonical coordinate origin.