activity
20202025
most citedHow to verify the precision of density-functional-theory implementations via reproducible and universal workflows

87 citations · 101 across the 4 of their papers we have counts for

collaborators

10 papers

cond-mat.mtrl-sci2025★ 4 cited

MC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics

Sebastiaan P. Huber, Michail Minotakis, Marnik Bercx +7

DFT is a widely used method to compute properties of materials, which are often collected in databases and serve as valuable starting points for further studies. In this article, w…

cond-mat.mtrl-sci2025★ 1 cited

Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app

Xing Wang, Edan Bainglass, Miki Bonacci +23

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…

cond-mat.mtrl-sci2025★ 9 cited

First-principles Hubbard parameters with automated and reproducible workflows

Lorenzo Bastonero, Cristiano Malica, Eric Macke +4

We introduce an automated, flexible framework (aiida-hubbard) to self-consistently calculate Hubbard and parameters from first-principles. By leveraging density-functional…

cond-mat.mtrl-sci2023★ 87 cited

How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

Emanuele Bosoni, Louis Beal, Marnik Bercx +42

In the past decades many density-functional theory methods and codes adopting periodic boundary conditions have been developed and are now extensively used in condensed matter phys…

cs.DC2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55

Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…

cond-mat.mtrl-sci2021

Common workflows for computing material properties using different quantum engines

Sebastiaan P. Huber, Emanuele Bosoni, Marnik Bercx +23

The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady increa…