Head of Research Unit
Helmholtz Institute Erlangen-Nuremberg for Renewable Energies HI ERN
Role in the project : WP3–VA1 Leader: Virtual access to database infrastructures and simulation and data analysis tools - Contact point and coordinator of HI ERN’s activities in VIPERLAB.
Since December 2018, Dr. Jens A. Hauch is the head of the research unit for high-throughput methods in photovoltaics at the Helmholtz Institute Erlangen-Nuremberg for Renewable Energies (HI ERN), an institute of Forschungszentrum Jülich. Prior to this, he was Head of the Department of Renewable Energies at the Bavarian Centre for Applied Energy Research (ZAE Bayern) from 2016-2018. Dr. Hauch holds a PhD in experimental physics from the University of Texas at Austin. In previous positions, he was Managing Director of the interdisciplinary Energy Campus Nuremberg Research Center until 2015, Managing Director of Konarka Technologies GmbH until 2012, where he developed organic photovoltaics, and before that as Senior Scientist at Siemens Corporate Technology. Dr. Hauch is author and co-author of about 35 patents and patent applications and more than 45 scientific publications
[1] - Took place on Feb, 08th 2022
Modelling, high performance computing and efficient access to data sets based on data reported in the literature and experimental work are important tools to accelerate research in the field of photovoltaic perovskite, and beyond. With this workshop VIPERLAB presents the importance of these topics for materials science technology and how the 4 virtual infrastructures of Viperlab project can support researchers from academy'and industry, with free access to their computing, modeling tools and the available datasets.
[1] - Took place on Jan, 17th 2024
The “VIPERLAB Webinar on Standardization for Perovskite PV” is a half-day online event on standardization activities in the field of PV, focusing on Perovskite materials and devices. Experts from international research institutes report on the current activities of the IEC Technical Committees 113 and 82, ISOS and PSK-ISOS, as well as on standardization activities regarding data ontologies and RDM.