Big Data methods to tune perovskites to target properties: alloys, defects and doping
Machine learning methods applied to the study of interfaces between semiconductors
Machine learned potentials for molecular dynamics simulations of halide perovskites
Two-Dimensional Nano-Heteroestructures: DFT Simulations and Machine Learning of In...
Electronic and structural properties and phase transition of PbZr (1-0.5) Ti(0.5)O...
Theoretical investigation of chiral molecules in the physicochemical properties of...