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Profile
| Academic position | Lecturer, Assistant Professor, Researcher |
|---|---|
| Research fields | Theoretical Chemistry: Electron Structure, Dynamics, Simulation,Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing |
| Keywords | materials sciences, molecular dynamics, machine learning, materials informatics, density functional theory |
| Honours and awards | 2019: Dimitris N. Chorafas Prize for outstanding work in natural sciences 2019: Summa Cum Laude, PhD honor |
Current contact address
| Country | Germany |
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| City | Bayreuth |
| Institution | Universität Bayreuth |
| Institute | Fakultät für Ingenieurwissenschaften |
| Homepage | https://kuenneth.uni-bayreuth.de/ |
Host during sponsorship
| Prof. Dr. Ramamurthy Ramprasad | School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta |
|---|---|
| Start of initial sponsorship | 01/01/2020 |
Programme(s)
| 2019 | Feodor Lynen Research Fellowship Programme for Postdocs |
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Publications (partial selection)
| 2021 | Kuenneth, Christopher and Schertzer, William and Ramprasad, Rampi: Copolymer Informatics with Multitask Deep Neural Networks. In: Macromolecules, 54, 2021, 5957--5961 |
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| 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 |