Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app

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Authors: Xing WANG, Edan Bainglass, Miki Bonacci, Andres Ortega-Guerrero, Lorenzo Bastonero, Marnik Bercx, Pietro Bonfà, R. De Renzi, Dou Du, Peter N O Gillespie, Michael A. Hernández-Bertrán, Daniel Hollas
+14 more Sebastiaan P. Huber, Elisa Molinari, Ifeanyi John Onuorah, Nataliya Paulish, Deborah Prezzi, Junfeng Qiao, Timo Reents, Christopher J. Sewell, Iurii Timrov, Aliaksandr V. Yakutovich, Jusong Yu, Nicola Marzari, Carlo Antonio Pignedoli, Giovanni Pizzi
Cited by: 1
References: 99

Abstract

Abstract Despite the wide availability of density functional theory (DFT) codes, their adoption by the broader materials science community remains limited due to challenges such as software installation, input preparation, high-performance computing setup, and output analysis. To overcome these barriers, we introduce the Quantum ESPRESSO app, an intuitive, web-based platform built on AiiDAlab that integrates user-friendly graphical interfaces with automated DFT workflows. The app employs a modular Input-Process-Output model and a plugin-based architecture, providing predefined computational protocols, automated error handling, and interactive results visualization. We demonstrate the app’s capabilities through plugins for electronic band structures, projected density of states, phonon, infrared/Raman, X-ray and muon spectroscopies, Hubbard parameters (DFT+ U + V ), Wannier functions, and post-processing tools. By extending the FAIR principles to simulations, workflows, and analyses, the app enhances the accessibility and reproducibility of advanced DFT calculations and provides a general template to interface with other first-principles calculation codes.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Electron Microscopy Techniques and Applications Advanced Chemical Physics Studies

Publication details

Journal / source
npj Computational Materials
Publisher
Springer Science and Business Media LLC
Volume
12
Issue
1
Pages
72–72
Publication date
3 February 2026
Language
EN