Multiwavelength Raman spectroscopy of ultranarrow nanoribbons made by solution-mediated bottom-up approach
Multiwavelength Raman spectroscopy of ultranarrow nanoribbons made by solution-mediated bottom-up approach
D. Rizzo, D. Prezzi, A. Ruini, V. Nagyte, A. Keerthi, A. Narita, U. Beser, F. Xu, Y. Mai, X. Feng, K. Müllen, E.Molinari, and C. Casiraghi
Phys. Rev. B 100, 045406 (2019) 10.1103/PhysRevB.100.045406
Koopmans compliance: a functional theory for spectral properties
Koopmans compliance: a functional theory for spectral properties
A. Ferretti, N. Colonna, N. Nguyen, and N. Marzari
Pump-driven normal-to-excitonic insulator transition: Josephson oscillations and signatures of BEC-BCS crossover in time-resolved ARPES
Pump-driven normal-to-excitonic insulator transition: Josephson oscillations and signatures of BEC-BCS crossover in time-resolved ARPES
E. Perfetto, D. Sangalli, A. Marini, and G. Stefanucci
Phys. Rev. Materials 3, 124601 (2019) 10.1103/PhysRevMaterials.3.124601
Insights from Optimized Codes on Cineca’s Marconi
Insights from Optimized Codes on Cineca’s Marconi
interview by C. Cavazzoni and A. Ferretti
Open Science Platform for Materials Science: AiiDA and the Materials Cloud
Open Science Platform for Materials Science: AiiDA and the Materials Cloud
invited talk by G. Pizzi
DFT study of graphene doping due to metal contacts
DFT study of graphene doping due to metal contacts
P. Khakbaz , F. Driussi , A. Gambi , P. Giannozzi , S. Venica, D. Esseni, A. Gahoi, S. Kataria, and M.C. Lemme
International Conference on Simulation of Semiconductor Processes and Devices – SISPAD (2019) 10.1109/SISPAD.2019.8870456
Improved understanding of metal–graphene contacts
Improved understanding of metal–graphene contacts
F. Driussi, S. Venica, A. Gahoi, A. Gambi, P. Giannozzi, S. Kataria, M.C. Lemme, P. Palestri, and D. Esseni
Microelectronic Engineering 216, 111035 (2019) 10.1016/j.mee.2019.111035
Materials Informatics: Overview
Materials Informatics: Overview
N. Marzari
Handbook of Materials Modeling : Methods: Theory and Modeling, W. Andreoni and S. Yip, eds. (Springer, Cham, 2019), 1–7 10.1007/978-3-319-42913-7_92-1
Transferable Machine-Learning Model of the Electron Density
Transferable Machine-Learning Model of the Electron Density
A. Grisafi, A. Fabrizio, B. Meyer, D. M. Wilkins, C. Corminboeuf, and M. Ceriotti
ACS Cent. Sci., 5 (1), 57–64 (2019) 10.1021/acscentsci.8b00551
Valley-engineering mobilities in 2D materials
Valley-engineering mobilities in 2D materials
T. Sohier, M. Gibertini, D. Campi, G. Pizzi, and N. Marzari
Nano Lett. 19, 3723−3729 (2019) 10.1021/acs.nanolett.9b00865