Prof. Dr. Christopher Benjamin Künneth

Profil

Derzeitige Stellung	Professor W-1 und Äquivalente
Fachgebiet	Theoretische Chemie: Elektronenstruktur, Dynamik, Simulation,Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous and Wearable Computing
Keywords	materials sciences, molecular dynamics, machine learning, materials informatics, density functional theory
Auszeichnungen	2019: Dimitris N. Chorafas Prize for outstanding work in natural sciences 2019: Summa Cum Laude, PhD honor

Aktuelle Kontaktadresse

Land	Deutschland
Ort	Bayreuth
Universität/Institution	Universität Bayreuth
Institut/Abteilung	Fakultät für Ingenieurwissenschaften
Website	https://kuenneth.uni-bayreuth.de/

Gastgeber*innen während der Förderung

Prof. Dr. Ramamurthy Ramprasad	School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta
Beginn der ersten Förderung	01.01.2020

Programm(e)

2019	Feodor Lynen-Forschungsstipendien-Programm für Postdocs

Publikationen (Auswahl)

2021	Kuenneth, Christopher and Schertzer, William and Ramprasad, Rampi: Copolymer Informatics with Multitask Deep Neural Networks. In: Macromolecules, 54, 2021, 5957--5961
2021	Kuenneth, Christopher and Rajan, Arunkumar Chitteth and Tran, Huan and Chen, Lihua and Kim, Chiho and Ramprasad, Rampi: Polymer informatics with multi-task learning. In: Patterns, 2, 2021, 100238
2021	Chen, Lihua and Pilania, Ghanshyam and Batra, Rohit and Huan, Tran Doan and Kim, Chiho and Kuenneth, Christopher and Ramprasad, Rampi: Polymer informatics: Current status and critical next steps. In: Materials Science and Engineering: R: Reports, 144, 2021, 100595
2020	Del Rio, Beatriz G and Kuenneth, Christopher and Tran, Huan Doan and Ramprasad, Rampi: An efficient deep learning scheme to predict the electronic structure of materials and molecules: The example of graphene-derived allotropes. In: The Journal of Physical Chemistry A, 124, 2020, 9496--9502