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News
Switchable superlubricity
Understanding Molecular Monolayer Formation with Machine Learning
Machine Learning Provides New Insights Into Organic-Inorganic Interfaces
Huge Computing Time Project Granted
Projects
Computational Material Design with DFT and Machine Learning
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Researching Organic/Inorganic Interfaces Machine Learning
My research interests include
- Surfaces Structure Search
- Polymorphism and Metastable Structures
- Phase Diagrams and Phase Transitions
- Adsorption Processes of Organic Molecules
- Defects in Organic Monolayers
I use the following techniques for my research:
- Machine Learning (mostly Gaussian Process Regression)
- Density Functional Theory
- Ab-initio Thermodynamics
Personal data
Recent talks
ML4MS, May 2019, Helsinki
Meeting of the German Physical Society, April 2019, Regensburg
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last updated: 2. July 2020
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Institute of Solid State Physics
