Guided design of copper oxysulfide superconductors
Chuck-Hou Yee, Turan Birol, Gabriel Kotliar

TL;DR
This paper presents a computational framework combining electronic structure tools, databases, and evolutionary algorithms to design new superconducting materials, demonstrated by proposing a novel copper oxysulfide with potential high-temperature superconductivity.
Contribution
It introduces a guided design approach integrating first-principles calculations and evolutionary algorithms for discovering new superconductors, exemplified by a novel copper oxysulfide compound.
Findings
Proposed a new layered copper oxysulfide, Hg(CaS)₂CuO₂.
Evaluated its potential for high-temperature superconductivity.
Applied theories based on charge-transfer and orbital effects to assess superconductivity.
Abstract
We describe a framework for designing novel materials, combining modern first-principles electronic structure tools, materials databases, and evolutionary algorithms capable of exploring large configurational spaces. Guided by the chemical principles introduced by Antipov, \emph{et. al.}, for the design and synthesis of the Hg-based high-temperature superconductors, we apply our framework to design a new layered copper oxysulfide, Hg(CaS)CuO. We evaluate the prospects of superconductivity in this oxysulfide using theories based on charge-transfer energies, orbital distillation and uniaxial strain.
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