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...
G. Sesti, D. Varsano, E. Molinari, and M. Rontani
The screening of Coulomb interaction controls many-body physics in carbon nanotubes, as it tunes...
Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gábor Csányi, and Alessandro Laio
Coherence and de-coherence are the most fundamental steps that follow the initial photo-excitation...
Carbon nitrides are gaining growing attention in recent years: they are metal-free carbon-based...
Phonon-assisted luminescence is a key property of defect centers in semiconductors, and can be...
Real-world data typically contain a large number of features that are often heterogeneous in nature...
L. E. Ratcliff, W. Dawson, G. Fisicaro, D. Caliste, S. Mohr, A. Degomme, B. Videau, V. Cristiglio,...
N. Marzari, A. Ferretti, and C. Wolverton
S. P. Huber, E. Bosoni, M. Bercx, J. Bröder, A. Degomme, V. Dikan, K. Eimre, E. Flage-Larsen, A...
L. Stixrude, S. Baroni, and F. Grasselli
N. Wittemeier, M. J. Verstraete, P. Ordejón, and Z. Zanolli
C. Zeni, K. Rossi, T. Pavloudis, J. Kioseoglou, S. de Gironcoli, R. E. Palmer, and F. Baletto
R. Cuadrado, R. Robles, A. García, M. Pruneda, P. Ordejón, J. Ferrer, and Jorge I. Cerdá