Christopher Kü
Christopher Kue
Christopher Kuenneth,
an Assistant Professor at the University of Bayreuth (UBT).
I am hiring and have open PhD positions. Contact me if you are interested.
Hi 👋 I am Chris, an Assistant Professor at the University of Bayreuth (UBT), Germany. My research group at UBT strives to
democratize materials informatics for streamlining materials discovery, design, development, and deployment.
I recieved my PhD (Latin: Dr. rer. nat. [doctor rerum naturalium], German: Doktor der Naturwissenschaften) from the Technical University Munich in collaboration with the Munich University of Applied Sciences in 2018. My doctoral reasearch focused on investigating the ferroelectric and pyroelectric effects in hafnium dioxide (HfO\(_2\)) and zirconium dioxide (ZrO\(_2\)) thin films (thickness ~\(\text{nm}\) range) using materials informatics tools such as the density functional theory (DFT) or molecular dynamics (MD).
After graduation, I was awarded the Feodor Lynen fellowship for postdoctoral researchers by the Alexander von Humboldt Foundation. I commenced this fellowship in February 2019 at the Ramprasad Group, located in the Georgia Institute of Technology in Atlanta. My research in the Ramprasad group revolved around the application of machine learning methods in field of materials sciences. Specifically, I designed advanced machine learning tools that predict properties of polymers or design polymers to meet specific property requirements. The models I developed are available on the Polymer Genome project website.
People may call me a "materials computer scientist" or "computational materials scientist" 🤔.
Chris' vision for his research group at UBT is to democratize materials informatics, making materials discovery, design, and development more streamlined and accessible. His work in the field of machine learning in materials science is a testament to his dedication to advancing the field and making it more accessible to all researchers.
Part of the BioManIAC team. I used machine learning methods to find and design bioplastic replacements of seven commodity plastics that account for 75% of the global plastic production.
I contributed to the field of polymer informatics using artificial intelligence methods that accelerate the discovery, design, development, and deployment of polymers.
I stayed 6-month as a research fellow in the Ramprasad group at the University of Connecticut to continued my research on HfO\(_2\) and ZrO\(_2\), focusing on the ferroelectric switching kinetics and the role of grain boundaries. Outcomes were published in a Elsevier book chapter.
In 2011, researchers unexpectedly discovered ferroelectricity and pyroelectricity in thin HfO\(_2\) and ZrO\(_2\) films. My doctoral research focused on understanding this amazing new discovery using materials informatics tools such as DFT and molecular dynamics. The research was performed in close collaboration with experimentalists and aimed at improving performance and reliability of the effects.
Research work on two projects funded by the German Research Foundation (DFG):
Latin honor: Summa Cum Laude (passed with highest distinction). Full 3-yrs. doctoral scholarship awarded by the Technical University of Munich.
Major: micro and nano technologies.
Courses: semi-conductor physics, photonic, quantum mechanics, advanced quantum mechanics, physical simulation and modeling, micro and nano lab class, bio micro and nano technologies, micro and nano materials
Major: mechanical engineering.
Majors: mathematic, physic and computer sciences.
pip install rdkit