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Advanced capabilities for materials modelling with Quantum ESPRESSO

P. Giannozzi 1, * Oliviero Andreussi 2 T Brumme 3 O. Bunau 4 M. Buongiorno Nardelli 5 M. Calandra 6 R Car 7 C Cavazzoni 8 D Ceresoli 9 M Cococcioni 2 N Colonna 2 I Carnimeo 1 A. Dal Corso 10, 11 S Baroni 10 S. de Gironcoli 12, 11 P Delugas 10 R.A. Di Stasio Jr. 13 A Ferretti 14 A Floris 15 G. Fratesi 16 G. Fugallo 17 R Gebauer 18 U. Gerstmann 19 F Giustino 20 T Gorni 6 J Jia 13 M Kawamura 21 H-y Ko 7 A Kokalj 22 E Küçükbenli 10 M. Lazzeri 4 M. Marsili 23 Nicola Marzari 2 F. Mauri 24 N.L. Nguyen 2 A Otero-De-La-Roza 25 L. Paulatto 6 S Poncé 26 D. Rocca 27 R. Sabatini 28 B. Santra 7 M. Schlipf 29 A.P. Seitsonen 30 A. Smogunov 31 I. Timrov 32 T Thonhauser 33 P Umari 11 N. Vast 34 X Wu 35 H.-V. Nguyen 36 
* Corresponding author
26 Department of Materials, Oxford
Department of Materials
31 GMT - Groupe Modélisation et Théorie
SPEC - UMR3680 - Service de physique de l'état condensé, IRAMIS - Institut Rayonnement Matière de Saclay
Abstract : Quantum ESPRESSO is an integrated suite of open-source computer codes for quantum simulations of materials using state-of-the-art electronic-structure techniques, based on density-functional theory, density-functional perturbation theory, and many-body perturbation theory, within the plane-wave pseudopotential and projector-augmented-wave approaches. Quantum ESPRESSO owes its popularity to the wide variety of properties and processes it allows to simulate, to its performance on an increasingly broad array of hardware architectures, and to a community of researchers that rely on its capabilities as a core open-source development platform to implement their ideas. In this paper we describe recent extensions and improvements, covering new methodologies and property calculators, improved parallelization, code modularization, and extended interoperability both within the distribution and with external software.
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P. Giannozzi, Oliviero Andreussi, T Brumme, O. Bunau, M. Buongiorno Nardelli, et al.. Advanced capabilities for materials modelling with Quantum ESPRESSO. Journal of Physics: Condensed Matter, 2017, 29, pp.465901. ⟨10.1088/1361-648X/aa8f79⟩. ⟨cea-01634887⟩



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