EU PVSEC Programme Online
EU PVSEC 2020, 7 - 11 September 2020

Mr. Emmanouil Manidakis

University Of Crete, Iraklion, Greece

Manidakis Emmanouil

07/06/1991, Heraklion Crete
Greece
6983916190
2810-394134 (office phone)
mman@materials.uoc.gr, emm.manidakis@iesl.forth.gr, emm.manidakis@gmail.com


EDUCATION

PhD: PhD candidate, Department of materials science and technology, University of Crete (3rd Generation Solar Cells, supervisor: prof. Nikos Pelekanos, IESL-FORTH)

Abstract
In this thesis, we will design and implement various schemes of double-junction photovoltaic devices, in which the incident sunlight will be absorbed in different parts of the device, in order to optimize their photovoltaic efficiency. Various innovative geometries will be tested, involving among others Silicon substrates, GaAs thin films or nanowires, as well as films of hybrid perovskites.

Master: Department of materials science and technology, University of Crete (2018)

Master Thesis: Nanowire core-shell heterostructures for photovoltaic applications (supervisor: prof. Nikos Pelekanos, IESL-FORTH)

Abstract
Nanowire arrays are intensively studied in view of third generation solar cells applications. Specifically, III-V nanowires are attractive due to their excellent optoelectronic properties as high mobility of the carriers and light emission. These nanowires however suffer from surface parasitic effects. Core-shell nanowire heterostructures reduce these effects and provide many advantages to such as band-gap engineering, antireflective properties and piezoelectric effects due to lattice mismatch of the materials. The critical parameters for an efficient solar cell based on nanowires are the nanowire diameter, height, distance between nanowires and the array’s symmetry. In this thesis we study GaAs-InGaAs core-shell nanowire heterostructures for photovoltaic applications. The nanowire samples were grown on Si (111) by Ga-assisted molecular beam epitaxy via the vapor-liquid-solid mechanism. Scanning electron microscopy images were taken in order to study the diameter, the height, density and the parasitic 2D layer in between nanowires on the interface with the substrate. The optical characterization of the samples was accomplished with photoluminescence measurements versus temperature. Subsequently, solar cell devices based on the nanowire samples were fabricated. After fabrication, SEM images were taken again in order to measure the density of the protruding nanowires as only these are important for the carrier collection. The final characterization of the nanowire solar cells was achieved by I-V and spectral quantum efficiency measurements.




Bachelor: Physics Department, University of Crete (2016)

Bachelor Thesis: Metal Oxide Pastes for Printing Applications (supervisors: prof. Georgios Kiriakidis, Dr Vasilios Binas, IESL-FORTH)

Internship: Design and manufacture of Doctor Blade printing machine (supervisors: prof. Georgios Kiriakidis, Dr Vasilios Binas, IESL-FORTH)

High School: General High School of Mires (2009)


LANGUAGES

Greek: Native language
English: Excellent (Lower certification, Edexcel & Michigan)


CONFERENCES

Assistant of EMRS Conference - Spring Meeting 2019/ Symposium G- Halide Perovskites: Low Dimensions for Devices, Nice/France
Published in ACS Energy Letters ( DOI: 10.1021/acsenergylett.9b02263 )

Poster: MNE Conference 23rd -26th of September 2019, Rodos/Greece - Shunt resistance effects in GaAs/InGaAs core-shell nanowire solar cells.


EXPERIMENTAL SKILLS

-Powders synthesis and crystal growth of perovskite materials
-Full fabrication process of perovskite solar cells
-Magnetron sputtering of Au contacts and Cu thin films
-Spin coating deposition of perovskite thin films
-Electrical characterization of oxides, perovskite and III-V materials (Photo and Dark I-V, Quantum Efficiency Measurements (EQE), Transfer Length Model Measurements)
-Optical characterization of oxides, perovskite and III-V materials (Photoluminescence Spectroscopy, X-Ray Diffraction, UV-Visible Spectroscopy)
-Modeling and simulation of solar cell devices (Matlab, Silvaco Simulation)
-Data analysis (Origin Lab, Microsoft Office, Image J)