19 citations · 24 across the 3 of their papers we have counts for
5 papers · 1 filter
Trends in atomistic simulation software usage
Leopold Talirz, Luca M. Ghiringhelli, Berend Smit
Driven by the unprecedented computational power available to scientific research, the use of computers in solid-state physics, chemistry and materials science has been on a continu…
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…
AiiDAlab -- an ecosystem for developing, executing, and sharing scientific workflows
Aliaksandr V. Yakutovich, Kristjan Eimre, Ole Schütt +10
Cloud platforms allow users to execute tasks directly from their web browser and are a key enabling technology not only for commerce but also for computational science. Research so…
Materials Cloud, a platform for open computational science
Leopold Talirz, Snehal Kumbhar, Elsa Passaro +17
Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts 1) archiv…
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi +1
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal organic frameworks (MOFs). At present, we have libraries of over ten thousand…