Presenter: Dr. rer. nat. Tim Kodalle, Lawrence Berkeley National Laboratory (LBNL) in Berkeley, California
Inviting Professor: Prof. Dr. Nando Kaminski
Abstract:
Recent 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. The combination of these developments opens up opportunities for accelerated screening and optimization of novel materials. Using three different model systems, this talk will show use cases of automated material synthesis platforms as well as high-throughput and synchrotron-based in situ characterization. Further, it will develop a roadmap to combining both approaches to develop tools and workflows for accelerated material discovery and understanding. A prototype of such an "materials discovery platform", which is able to screen large parameter spaces using robotic tools and machine learning approaches, will be discussed. The platform is set up to first identify the most promising material candidates and then use a combination of ML and targeted characterization to reveal structure-property relationships based on these samples.
Biographie:
Dr. Tim Kodalle is a physicist working at the Molecular Foundry and the Advanced Light Source, at Lawrence Berkeley National Laboratory (LBNL) in Berkeley, California. Prior to joining LBNL as a postdoctoral researcher in 2021, he completed his PhD at Martin Luther University Halle and at Helmholtz-Zentrum Berlin in Germany in 2020.
In his current role as Team Lead, Dr. Kodalle 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 photovoltaic materials, e.g. on Ni- and Co-free cathodes and on hybrid perovskite thin films. Additionally, he works on developing automated, closed-loop materials deposition tools and manages a collaborative User Program for multimodal in situ characterization between LBNL's two User Facilities.