The Laboratory for Materials Simulations develops the theory, algorithms, software and data required for the study of advanced materials at PSI.
Lab News & Scientific Highlights
All'inseguimento degli atomi di idrogeno mancanti
Nelle rappresentazioni delle strutture cristalline dei materiali spesso mancano le informazioni relative alle posizioni degli atomi di idrogeno. I ricercatori dell'Istituto Paul Scherrer PSI hanno trovato un modo, impiegando l'intelligenza artificiale, per integrare la carenza di tali informazioni.
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.
Upcoming Events
Publications
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Barbalinardo G, Chen Z, Folkner DA, Li B, Lundgren NW, Troup N, et al.
κALDo 2.0: scalable thermal transport from first principles and machine learning potentials
Computer Physics Communications. 2026; 327: 110282 (18 pp.). https://doi.org/10.1016/j.cpc.2026.110282
DORA PSI -
Carrete J, García-Fernández P, Grüning M, He X, Pionteck MN, Protik NH, et al.
Software interoperability in electronic structure methods for atomistic materials simulations
Computational Materials Science. 2026; 273: 114900 (19 pp.). https://doi.org/10.1016/j.commatsci.2026.114900
DORA PSI -
Caruso F, Sentef MA, Attaccalite C, Bonitz M, Draxl C, De Giovannini U, et al.
The 2025 roadmap to ultrafast dynamics: frontiers of theoretical and computational modeling
Journal of Physics: Materials. 2026; 9(1): 012501 (56 pp.). https://doi.org/10.1088/2515-7639/ae1165
DORA PSI -
Cruz KR, Cyganowski EJ, Rawat A, Carta A, Adak AK, Zhang C, et al.
Semiconducting copper(II) oxide sulfate: synthesis, solid-state chemistry, and electronic structure
Journal of Physical Chemistry C. 2026; 130(18): 6461-6473. https://doi.org/10.1021/acs.jpcc.5c07953
DORA PSI -
Di Lucente E, dos Santos FJ, Marzari N
Spin fluctuations steer the electronic behavior in the FeSb3 skutterudite
Physical Review Research. 2026; 8(1): 013174 (15 pp.). https://doi.org/10.1103/lyy4-cmf6
DORA PSI