Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH)
The Department of Computational Physics and Information Technologies
Optimization of photoactive perovskite materials using machine learning techniques (OPTIM-PRV)
Objectives
The main objectives of the project concern material discovery and validation for photovoltaic technology:
(O1) Development of a hybrid machine learning - density functional theory (ML-DFT) methodology to predict the opto-electronic properties of materials relevant for photovoltaic applications.
(O2) Selection and synthesis of perovskite materials for photovoltaic technology.