News & Highlights
AiiDAlab: un software che fa avanzare la ricerca
Il software AiiDAlab è stato sviluppato per simulazioni al computer nell'ambito della ricerca sui materiali. Ora emerge che: la sua utilità ve ben oltre, ad esempio nel campo della ricerca sull'atmosfera, in quello del controllo degli esperimenti e nell'insegnamento.
A new database of inorganic materials is available on the Materials Cloud
A team of scientists, led by researchers at PSI, has introduced the Materials Cloud Three-Dimensional Structure Database (MC3D), a systematically curated database of quantum-mechanical calculations for inorganic materials derived from experimental crystal structures. The database contains more than 32 000 structures whose relaxed geometry and electronic structure were computed using carefully standardized DFT workflows, using three different functionals and/or computational protocols. Beyond providing a consistent reference dataset for computational materials science, MC3D also supports emerging data-driven approaches. For example, it served as a starting point for datasets used to train machine-learning interatomic potentials.
There’s an app for that: atomistic materials calculations made more accessible by the AiiDAlab Quantum ESPRESSO app
Powerful atomistic simulation tools have transformed materials research, but their complexity still limits who can use them and how easily results can be reproduced: a gap that a new web-based app now helps close. The AiiDAlab Quantum ESPRESSO app, described in a recent publication in npj Computational Materials, can run not only isolated calculations but also complete, end-to-end computational workflows involving multiple passages over several different materials, lowering the barrier for both experimentalists and computational experts. This is achieved through the tight integration of the widely-used Quantum ESPRESSO simulation software package with the AiiDA engine, a workflow-management system to help automate complex simulations in materials science (whose development is led by the Materials Software and Data group at PSI), which has provided substantial support to its development alongside contributions from the broader community.