Symmetry breaking transforms strong to normal correlation and false metals to true insulators
Alex Zunger, Jia-Xin Xiong, John P. Perdew

TL;DR
This paper demonstrates that allowing symmetry breaking in electronic structure calculations can convert false metallic predictions into true insulating states in transition-metal oxides, reducing the need for strong correlation treatments.
Contribution
It introduces a symmetry-breaking approach in DFT calculations that explains insulating behavior without relying on strong correlation theories.
Findings
Symmetry breaking lowers energy and correctly predicts insulators.
Broken symmetries remove degeneracies, reducing the need for strong correlation.
The approach distinguishes paramagnetic insulators from metals.
Abstract
Material scientists and condensed matter physicists have long been divided on the issue of choosing the conceptual framework for explaining why open-shell transition-metal oxides tend to be insulators, whereas otherwise successful theories such as DFT often predict them to be (false) metals. Strong correlation becomes the recommended medicine. We point out that strong correlation can be mitigated by allowing DFT to lower the energy by breaking structural, magnetic or dipolar symmetries. Such local motifs are observed experimentally by local probes beyond the 'average structure' determined by X-Ray diffraction. Observed broken symmetries can arise from slow fluctuations that persist over the observation time or longer. The surprising fact is that when symmetry breaking motifs are used as input to electronic structure calculations, false metals are converted into real insulators without…
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Taxonomy
TopicsMachine Learning in Materials Science · Advanced Condensed Matter Physics · Chemical and Physical Properties of Materials
