Department of Applied Physics
Patrick Rinke
Professor (Associate Professor)
Contact information
Email
[email protected]
Postal address
Otakaari 1, 02150 Espoo
Mobile phone
+358504433199
Full researcher profile
https://research.aalto.fi/...
ORCID
0000-0003-1898-723X
Areas of expertise
Honors and awards
August-Wilhelm Scheer visiting professorship, Technical University Munich
Outstanding Referee of Physical Review and Physical Review Letters
Outstanding Postdoctoral Research Achievement Award – Solid State Lighting & Energy Center, University of California at Santa Barbara
German Science Foundation (DFG) research scholarship 2007 - 2009
Thesis Prize - Institute of Physics (UK) Computational Physics Group
Publications
School services, SCI, Surfaces and Interfaces at the Nanoscale, Department of Applied Physics, Department of Management Studies, Computational Electronic Structure Theory
Data-Driven Materials Science
Publishing year: 2019
Advanced Science
Computational Electronic Structure Theory, Department of Applied Physics
Formation of graphene atop a Si adlayer on the C-face of SiC
Publishing year: 2019
Physical Review Materials
Department of Applied Physics, Computational Electronic Structure Theory, Surfaces and Interfaces at the Nanoscale
Database-driven high-throughput study of coating materials for hybrid perovskites
Publishing year: 2019
New Journal of Physics
Computational Electronic Structure Theory, Department of Applied Physics
Quantum embedding theory in the screened Coulomb interaction
Publishing year: 2019
Physical Review Materials
Department of Applied Physics, Computational Electronic Structure Theory
The GW Compendium
Publishing year: 2019
Frontiers in Chemistry
Computational Electronic Structure Theory, Department of Applied Physics, Probabilistic Machine Learning, Professorship Vehtari A., Department of Computer Science, Surfaces and Interfaces at the Nanoscale
Chemical diversity in molecular orbital energy predictions with kernel ridge regression
Publishing year: 2019
Journal of Chemical Physics
Department of Applied Physics, Computational Electronic Structure Theory, Probabilistic Machine Learning, Professorship Vehtari A., Department of Computer Science, Helsinki Institute for Information Technology HIIT
Deep Learning Spectroscopy
Publishing year: 2019
Advanced Science
Department of Applied Physics, Computational Electronic Structure Theory
Database driven research and the Novel Materials Discovery Laboratory
Publishing year: 2019
Abstracts of papers of the American Chemical Society