Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app
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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.Keywords
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This publication has 90 references indexed in Scilit:
- BaZrS 3 Lights Up: The Interplay of Electrons, Photons, and Phonons in Strongly Luminescent Single CrystalsAdvanced Optical Materials, 2025
- Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of MaterialsAdvanced Materials, 2023
- Review on surface-characterization applications of X-ray photoelectron spectroscopy (XPS): Recent developments and challengesApplied Surface Science Advances, 2022
- High-throughput rapid experimental alloy development (HT-READ)Acta Materialia, 2021
- Database-Driven High-Throughput Calculations and Machine Learning Models for Materials Design2020
- FireWorks: a dynamic workflow system designed for high‐throughput applicationsConcurrency and Computation: Practice and Experience, 2015
- AFLOW: An automatic framework for high-throughput materials discoveryComputational Materials Science, 2012
- The ORCA program systemWIREs Computational Molecular Science, 2011
- Fermi Surface Measurements2005
- Chemistry with ADFJournal of Computational Chemistry, 2001