C. Malosso, L. Zhang, R. Car, S. Baroni, and D. Tisi
P. Pegolo, S. Baroni, and F. Grasselli
MaX will be at the Psi-k 2022 International Conference in Lausanne, August 22 to 25, 2022.
Cesare Malosso, Linfeng Zhang, Roberto Car, Stefano Baroni, and Davide Tisi
In this paper, the authors report on an extensive study of the viscosity of liquid water at near-ambient conditions, performed within the Green-Kubo theory of linear response and equilibrium ab initio molecular dynamics (AIMD), based on density-functional theory (DFT).
The authors report on an extensive study of the viscosity of liquid water at near-ambient...
B. Guster, M. Pruneda, P. Ordejón, and E. Canadell
A. Glielmo, C. Zeni, B. Cheng, G. Csányi, and A. Laio
F. Grasselli and S. Baroni
J. Jia, X. He, A. Akhtar, G. Herranz, and M. Pruneda
Engineering oxygen octahedra rotation patterns in ABO3 perovskites is a powerful route to design...
M. Kotiuga, S. Halilov, B. Kozinsky, M. Fornari, N. Marzari, and G. Pizzi
M. Pi, J. M. Escartín, F. Ancilotto, and M. Barranco
D. A. Leon, A. Ferretti, D. Varsano, E. Molinari, and C. Cardoso
The authors perform a density functional theory study of the effects of oxygen adsorption on the...
MaX @ ISC 2022 - #TRANSFORMINGTHEFUTURE, the event for High Performance Computing, Machine Learning...
In this paper, the authors investigate the performance of beyond-GW approaches in many-body...
Event: Young Researcher's Workshop on Machine Learning for Materials 2022 Where: SISSA Miramare...
C. Zeni, A. Anelli, A. Glielmo, and K. Rossi
In this article appearing on Physical Reviews B, an international team comprised of young researchers from Italy and Switzerland show how, contrary to popular assumptions, predictions from machine learning potentials almost exclusively occur in an extrapolation regime.
In recent years, modeling and simulation of materials have become indispensable to complement...