Showing results (1-10 of 61) with videos related to

Sort By:
Pageof 7
Journal of Physics. Condensed Matter : an Institute of Physics Journal|May 30, 2014
Hybrid functionals applied to perovskitesCesare Franchini
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 17, 2017
Assessing the performance of self-consistent hybrid functional for band gap calculation in oxide semiconductorsJiangang He, Cesare Franchini
Journal of Physics. Condensed Matter : an Institute of Physics Journal|February 25, 2022
Modeling polarons in density functional theory: lessons learned from TiO<sub>2</sub>Michele Reticcioli, Ulrike Diebold, Cesare Franchini
Journal of Physics. Condensed Matter : an Institute of Physics Journal|September 5, 2019
Assessing model-dielectric-dependent hybrid functionals on the antiferromagnetic transition-metal monoxides MnO, FeO, CoO, and NiOPeitao Liu, Cesare Franchini, Martijn Marsman, et al.
Npj Quantum Materials|April 4, 2025
Energetics of the coupled electronic-structural transition in the rare-earth nickelatesAlexander Hampel, Peitao Liu, Cesare Franchini, et al.
Inorganic Chemistry|January 11, 2013
Structural, electronic, and ferroelectric properties of compressed CdPbO3 polymorphsYuanhui Xu, Xianfeng Hao, Cesare Franchini, et al.
The Journal of Chemical Physics|May 4, 2026
Machine learning the order-disorder Jahn-Teller transition in LaMnO3Lorenzo Celiberti, Alexander Ehrentraut, Luca Leoni, et al.
Physical Review Letters|December 22, 2021
Ferro-octupolar Order and Low-Energy Excitations in d^{2} Double Perovskites of OsmiumLeonid V Pourovskii, Dario Fiore Mosca, Cesare Franchini
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|July 19, 2021
Electronic State Unfolding for Plane Waves: Energy Bands, Fermi Surfaces, and Spectral FunctionsDavid Dirnberger, Georg Kresse, Cesare Franchini, et al.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|December 20, 2023
Diffusion and Coalescence of Phosphorene Monovacancies Studied Using High-Dimensional Neural Network PotentialsLukáš Kývala, Andrea Angeletti, Cesare Franchini, et al.
Pageof 7