Julian Gebhardt | Best Researcher Award - Award Winner 2023

Dr. Julian Gebhardt : Perovskite solar cells

Congratulations to Dr. Julian Gebhardt on being honored with the Best Researcher Award at the International Research Data Analysis Excellence Awards for his outstanding contributions to the field of Perovskite solar cells. His innovative work has earned him well-deserved recognition, showcasing excellence in research and data analysis. Well done!

Professional Profiles:

• ORCID Profile
• ResearchGate Profile
• Scopus
• Google Scholar

Early Academic Pursuits:

Dr. Julian Gebhardt began his academic journey with a strong foundation in chemistry, earning a Bachelor of Science (Chemie) with a notable 1.7 GPA from Friedrich-Alexander-University (FAU) in 2009. His passion for the subject led him to pursue a Master of Science in Chemistry at FAU, where he achieved an outstanding 1.1 GPA in 2011.

Professional Endeavors:

PhD and Postdoctoral Research (2011-2019)

Dr. Gebhardt continued his academic pursuits with a Ph.D. at FAU under the supervision of Prof. Görling, earning the distinction of summa cum laude in 2016. Following this, he embarked on a series of postdoctoral positions, including a stint at the University of Pennsylvania (UPenn) under Prof. Rappe from 2016 to 2018 and a DFG-Stipendiary position at Max Planck MPSD in Hamburg under Prof. Rubio from 2018 to 2019.

Fraunhofer IWM (2019 - Present)

Since August 2019, Dr. Gebhardt has been associated with Fraunhofer IWM in Freiburg, Germany, where he serves as the Project and Scientific Lead for Multiscale Simulations. In this role, he manages a diverse array of projects, including the degradation of coatings in EUV optics for semiconductor manufacturing, strategic development of solar cells and hydrogen embrittlement, and automation of simulation workflows. His responsibilities also extend to digitization of scientific data, database development, project acquisition, and supervision of PhDs and postdocs.

Contributions and Research Focus:

Multiscale Modelling Expertise

Dr. Gebhardt has demonstrated expertise in multiscale modeling, contributing significantly to the understanding of degradation mechanisms in coatings for EUV optics, as well as the development of materials for perovskite solar cells.

Theoretical Chemistry and Computational Methods

His involvement in method and software development in theoretical chemistry showcases a dedication to advancing computational techniques for analyzing and simulating complex systems. This is evident in his work on the influence of data heterogeneity on machine learning of electronic structure data.

Novel Materials Discovery and Carbon Allotropes

During his tenure at the Fritz-Haber Institut in Berlin, Dr. Gebhardt engaged in project work for the "Novel Materials Discovery Laboratory" with a focus on material development, particularly for two-dimensional carbon allotropes. His contributions included the investigation of graphene, carbon nanotubes, and the development of novel carbon structures through computational chemistry methods.

Accolades and Recognition:

Dr. Gebhardt's academic achievements are underscored by his Ph.D. with summa cum laude honors and his active involvement in prestigious academic groups such as the "Molecular Science" graduate school, the "Synthetic Carbon Allotropes" Sonderforschungsbereich, and the "Campus Future Energy Systems" at Siemens.

Impact and Influence:

His influence extends beyond individual research projects to encompass the supervision of students, research assistants, and postdocs. Dr. Gebhardt's collaborative spirit is evident in his three-month research stay at the University of Barcelona, reflecting a commitment to international cooperation.

Legacy and Future Contributions:

Dr. Julian Gebhardt's legacy is marked by his contributions to the fields of multiscale modeling, theoretical chemistry, and materials discovery. As he continues to lead projects at Fraunhofer IWM and contribute to advancements in scientific understanding, his future contributions are poised to further shape the landscape of computational chemistry and materials science.

Notable Publications: