Giovanni Pica

Giovanni Pica

 

Current occupation: development of an experimental setup for optical measurements.

The performance of optoelectronic devices based on perovskites has risen dramatically in the past decade, with PSCs having reached a remarkable 25.2% PCE. However some important challenges remain, impeding commercialization, such as ion migration and non radiative losses. Even if improvements in film fabrication strategies are needed to solve these problems.

But in order to go beyond the efforts must focus also on the understanding of light–matter interactions and photons management.

This is why the aim is to develop a setup that allows the group to perform photoluminesce spectroscopy measurements with different levels of complexity:

Steady state PL: requires only the use of a dark room, a continuous-wave (cw) laser, and a spectrometer, and allows for examination of relative behavior of luminescing materials.

PL Quantum Efficiency: requires the addition of an integrating sphere to successfully scatter absorbed light.

Time Resolved PL: short laser pulses and ultrasensitive spectrometers are used to study time-dependent phenomena, allowing for measurement  of carrier lifetimes, recombination kinetics, and carrier densities.

 

Expertise.

Studies on modelling the behaviour of PSCs under thermal and moisture stress. In the first experimental part several data, related to different composition of the perovskite in the solar cells, were taken, underlining the degradation of the sample. The aim was to investigate in depth what happened inside the PSCs, so the following step was a model that would allow us to better understand the phenomena of charge accumulation at the interfaces. Indeed an advanced iterative fitting method was developed. This allowed to extrapolate the values of the main parameters characterizing a solar cell behavior: shunt resistance, series resistance, ideality factor and dark saturation current.

 

Education.

• Qualification:

Master’s degree in Physics of Matter, 110 cum laude. 04/2020, University of Pavia.

• Skills acquired:
Cultural and methodological expertise, fundamental in dealing with an interdisciplinary analysis of complex systems, with the versatility required to use appropriately new growing technologies. Mastery of mathematical, computer and laboratory tools for the analysis, interpretation and reduction of complex systems.

Additional information.

• Languages:
Italian (mother tongue)
English: (Comprehension B2, Speaking B2, Writing B2)

• Social skills:
Good communication skills, considering the context, the purpose and the players of the conversation.

• Organizational skills:
Ability in working in group but also independently, improving time management to reach timelines.

• Computer skills:
Good knowledge of standard Microsoft Office software and Latex markup language. Intermediate knowledge of C++ and Labview programming languages and UNIX commands.

• Personal skills:
Flexibility and adaptability.