Dr. Mariano Campoy-Quiles

Research Scientist Institute of Materials Science of Barcelona (ICMAB-CSIC)

Biography

​Mariano Campoy-Quiles is a materials scientist who has chosen to address one of the most critical problems facing humanity: the future supply of clean energy. He has built substantial research efforts in two application areas, solar photovoltaic (light to electric) and thermoelectric (heat to electric) energy conversion. Dr Campoy-Quiles is a physicist from the University of Santiago de Compostela (2000), and has been awarded a PhD in experimental physics from Imperial College London, UK (2005), a Japan Society for Promotion of Science postdoctoral fellowship (2007), a Ramon y Cajal research fellowship (2009), a permanent position as tenured scientist of CSIC (2012), the Most Outstanding Young Researcher in Experimental Physics Award (from the Spanish Royal Society of Physics and Fundación BBVA) (2012), an individual European Research Council Consolidator grant (2014) and promotion to research scientist of CSIC (2017). He is co-author in 75 papers, including three papers in Nature Materials as well as a stream of significant papers in excellent journals including Advanced Materials, Energy and Environmental Science, Advanced Functional Materials, Physical Review and leading Chemistry journals. This output has earned him an h-index of 34 and over 4300 citations. He is currently the Coordinator of the strategic Research Line on Energy of the Institute of Materials Science of Barcelona (ICMAB-CSIC) as well as member of ICMAB´s Scientific Executive Board. 

All sessions by Dr. Mariano Campoy-Quiles

Finding the needle in the haystack: High-throughput photovoltaic materials screening
04:15 PM

In this talk I will first describe a novel methodology for the fast evaluation of donor/acceptor systems for photovoltaics. The new approach, up to 100 times faster than conventional optimization protocols, is based on the use of Raman to quantify the local thickness and composition in samples with lateral gradients on parameters of interest. Raman images are combined with photocurrent images (LBIC) to identify the optimum conditions. We demonstrate the potential of the methodology optimizing three systems PCDTBT:PC70BM, PTB7-Th:PC70BM and PffBT4T-2OD:PC70BM, obtaining efficiencies circa 6%, 8% and 10%, respectively, using less than 50 mg of each polymer in the process. I will show that this method can be used also to analyze blends containing non-fullerene acceptors and ternary systems and it can be extended for the case of evaporated bilayer solar cells by using moving shadow masks as well as polymer:polymer processed through microfluidic chips dispensers. Finally, I will describe our first attempts to use these large datasets (>25.000 points per material system) as input in machine learning algorithms and what we could learn from this exercise.

Dr. Mariano Campoy-Quiles

Research Scientist Institute of Materials Science of Barcelona (ICMAB-CSIC)

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