Tim Kodalle (33min)

Lawrence Berkeley National Laboratory

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Abstract

Recent technological advances in the fields of machine learning, automation and open-source databases opened up new opportunities in high-throughput materials discovery, synthesis and characterization. Additionally, advances in detector resolution and response times enabled in situ characterization of structural and optoelectronic properties with high time-resolution and accuracy. Here, I will present examples of how we can utilize a high-throughput synthesis and characterization approach to screen large parameter spaces and identify the most interesting samples and then use advanced, multimodal in-situ characterization to reveal structure-property relationships in these samples. Examples will cover functional materials with application in renewable energies, e.g. photovoltaics, batteries, or catalysis.

Brief Bio

Tim Kodalle is a physicist working at the Molecular Foundry and the Advanced Light Source, the two User Facilities at Lawrence Berkeley National Laboratory (LBNL) in Berkeley, California. He completed his PhD at Martin Luther University Halle and at Helmholtz-Zentrum Berlin in Germany in 2020. In 2021, he joined LBNL as a postdoctoral researcher and Fellow of the German Research Foundation.

In his current role as Team Lead, Tim enables and conducts research at the intersection of physics, materials science, chemistry, and engineering. He leads research efforts on new materials for Li-ion batteries and PV materials, e.g. on Ni- and Co-free cathodes and on hybrid perovskite thin films. Additionally, he works on automated, closed-loop synthesis and characterization of functional thin film semiconductors, e.g. ALD-TiO2.  He furthermore manages a collaborative User Program for multimodal in situ characterization between the two User Facilities.