A General Lattice and Basis Formalism Enabling Efficient and Discretized Exploration of Crystallographic Phase Space
David Mrdjenovich, Kristin Persson

TL;DR
This paper introduces a novel algorithm that systematically explores crystallographic phase space, integrating with ab-initio methods to enhance the prediction and tuning of material properties and phase transitions.
Contribution
The paper presents a new lattice and basis formalism and an algorithm that enables efficient exploration of crystallographic phase space for materials science.
Findings
Enables systematic exploration of phase space
Integrates with density functional theory
Facilitates prediction of phase transitions
Abstract
Three-dimensional lattices are fundamental to solid-state physics. The description of a lattice with an atomic basis constitutes the necessary information to predict solid phase properties and evolution. Here, we present a new algorithm for systematically exploring crystallographic phase space. Coupled with ab-initio techniques, such as density functional theory, this algorithm offers a new approach for exploring and tuning materials behavior, with a broad range of potential applications: polar and magnetic transitions, martensitic phase transformations, and generally materials stability.
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Taxonomy
TopicsMachine Learning in Materials Science · Inorganic Chemistry and Materials · Shape Memory Alloy Transformations
