Cesare Franchini
- Quantum paraelectricity and structural phase transitions in strontium titanate beyond density-functional theory
2022/11/17 by Carla Verdi, Verdi, Carla, Luigi Ranalli +5 · 7 citations
Materials Science · #Ferroelectric and Piezoelectric Materials #Electronic and Structural Properties of Oxides #Advanced Thermoelectric Materials and Devices
- Temperature-dependent anharmonic phonons in quantum paraelectric KTaO3 by first principles and machine-learned force fields
2022/09/24 by Luigi Ranalli, Carla Verdi, Ranalli, Luigi +9 · 6 citations
Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Electron Mobilities in SrTiO3 and KTaO3: Role of Phonon Anharmonicity, Mass Renormalization and Disorder
2024/07/26 by Luigi Ranalli, Carla Verdi, Ranalli, Luigi +9 · 5 citations
Materials Science · #Electronic and Structural Properties of Oxides #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Optical and excitonic properties of transition metal oxide perovskites\n by the Bethe-Salpeter equation
2021/06/28 by Lorenzo Varrassi, Varrassi, Lorenzo, Peitao Liu +9 · 2 citations
Materials Science · Physics and Astronomy · #Magnetic and transport properties of perovskites and related materials #Advanced Condensed Matter Physics
- Machine Learning Small Polaron Dynamics
2024/09/24 by Viktor C. Birschitzky, Luca Leoni, Birschitzky, Viktor C. +5 · 3 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Nuclear Physics and Applications #Physics of Superconductivity and Magnetism
- Deep Learning the Functional Renormalization Group
2022/02/27 by Domenico Di Sante, Matija Medvidović, Alessandro Toschi +5 · 1 voice
Physics and Astronomy · #Model Reduction and Neural Networks #Quantum many-body systems #Theoretical and Computational Physics #cond-mat.dis-nn #cond-mat.str-el
- Evolution of the Coulomb interactions in correlated transition-metal perovskite oxides from the constrained random phase approximation
2024/08/19 by Liang Si, Si, Liang, Peitao Liu +3 · 2 citations
Materials Science · #FOS: Physical sciences #Ferroelectric and Piezoelectric Materials #Magnetic and transport properties of perovskites and related materials #Materials Science (cond-mat.mtrl-sci) #Strongly Correlated Electrons (cond-mat.str-el) #X-ray Diffraction in Crystallography
- Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
2024/08/21 by Salvatore Romano, Romano, Salvatore, Pablo Montero de Hijes +9 · 2 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Geophysical and Geoelectrical Methods #Hydrological Forecasting Using AI #Materials Science (cond-mat.mtrl-sci) #Neural Networks and Applications
- Structure and Dynamics of the Magnetite(001)/Water Interface from Molecular Dynamics Simulations Based on a Neural Network Potential
2025/02/13 by Salvatore Romano, Pablo Montero de Hijes, Matthias Meier +3 · 1 voice · 2 citations
Earth and Planetary Sciences · Engineering · Materials Science · #Geophysical and Geoelectrical Methods #Hydrocarbon exploration and reservoir analysis #Machine Learning in Materials Science
- Exploring Noncollinear Magnetic Energy Landscapes with Bayesian Optimization
2024/12/21 by Jakob Baumsteiger, Lorenzo Celiberti, Baumsteiger, Jakob +7 · 2 citations
Physics and Astronomy · Economics, Econometrics and Finance · Computer Science · #Theoretical and Computational Physics #Complex Systems and Time Series Analysis #Neural Networks and Applications