Marcelo Cappelletti

Marcelo Cappelletti was born in Godoy Cruz, Mendoza, Argentina, in 1974. He received the M.S.Eng. degree in 2002 and the PhD degree in 2009, both from National University of La Plata (UNLP), Argentina. Currently he is Associated Professor at the Faculty of Engineering, UNLP and at the Arturo Jauretche National University (UNAJ) and he is Associated Researcher of the National Research Council of Argentina (CONICET). His main research interests are in: (i) the study of photovoltaic devices, including perovskite solar cells; and (ii) the study of real systems using machine learning approaches.
Teaching position Associate Professor (UNLP, UNAJ)
Research Category Associate Researcher CONICET
email marcelo.cappelletti@ing.unlp.edu.ar
CV (English) CV_Cappelletti__EN.pdf
CV (Spanish) CV_Cappelletti__ES.pdf
Education Ph.D., Electronic Engineer
Fields of interest Photovoltaic devices, Machine learning.

My publications

Journal Articles

Cappelletti M, Cédola A., Olivera LM, Casas G, Osio JR, Peltzer y Blancá E..  2019.  Extraction of the minority carrier transport properties of solar cells using the Hovel model and genetic algorithms. Measurement Science and Technology. 31:025601.
Cappelletti M, Casas G., Cédola A., Peltzer y Blancá E., B. Soucase M.  2018.  Study of the reverse saturation current and series resistance of p-p-n perovskite solar cells using the single and double-diode models. Superlattices and Microstructures. 123:338-348.
Casas G., Cappelletti M, Cédola A., B Soucase M, Peltzer y Blancá E..  2017.  Analysis of the power conversion efficiency of perovskite solar cells with different materials as Hole-Transport Layer by numerical simulations. Superlattices and Microstructures. 107:136-143.
Cappelletti M, Casas G, Morales D, Hasperue W, Peltzer y Blancá E.  2016.  Study of the electrical parameters degradation of GaAs sub-cells for triple junction space solar cells by computer simulation. Semiconductor Science and Technology. 31:115020.
Cappelletti M, Casas G., Cédola A., Peltzer y Blancá E..  2013.  Theoretical study of the maximum power point of n-type and p-type crystalline silicon space solar cells. Semiconductor Science and Technology. 28:045010.