Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session S19: Computational Materials Design and Discovery -- Data-Driven Electronic Structure
11:15 AM–2:03 PM,
Thursday, March 7, 2019
BCEC
Room: 156C
Sponsoring
Units:
DMP DCOMP
Chair: Alexander Urban
Abstract: S19.00007 : Fully-automated construction of Maximally Localized Wannier Functions: High-Throughput calculations of material properties*
1:15 PM–1:27 PM
Presenter:
Valerio Vitale
(Canvedish Laboratory, Department of Physics, University of Cambridge)
Authors:
Valerio Vitale
(Canvedish Laboratory, Department of Physics, University of Cambridge)
Giovanni Pizzi
(Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne)
Antimo Marrazzo
(Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne)
Jonathan Yates
(Department of Materials, University of Oxford)
Nicola Marzari
(Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne)
Arash A Mostofi
(Departments of Materials and Physics, and the Thomas Young Centre for Theory and Simulation of Materials, Imperial College London)
Conventionally, MLWFs are obtained by performing a multi-objective non-convex optimization [1]. In the case of MLWFs that represent so-called "entangled bands", e.g. for metals, the MLWFs may depend on the trial orbitals used to initiate the optimization. Consequently, automatic generation of MLWFs within high-throughput workflows is hindered by the need for user intervention in the selection of the initial guess.
A recently developed approach, the "selected columns of density matrix" (SCDM) algorithm [2] for obtaining localized Wannier functions does not require any initial guess and, by introducing only two parameters, is also applicable to the case of entangled bands.
We have implemented SCDM in a fully-integrated framework that combines the AiiDA workflow management platform, Quantum ESPRESSO and Wannier90 to achieve user-intervention-free construction of MLWFs. This work paves the way for high-throughput computation of advanced materials properties with Wannier functions.
Refs.
1 Rev. Mod. Phys. 84 1419 (2012)
2 J. Comp. Phys. 334 1-15 (2017)
*European Union grant No. 676531
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