Dresden 2020 – scientific programme
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TT: Fachverband Tiefe Temperaturen
TT 66: Poster Session Transport
TT 66.9: Poster
Thursday, March 19, 2020, 15:00–19:00, P2/EG
Characterization and classification of molecular IV data — •Filip Kilibarda1, Alexander Strobel1, Michael Mortensen2, Kurt Gothelf2, Thomas Huhn3, and Artur Erbe1 — 1Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany — 2Centre for DNA Nanotechnology, Aarhus , Denmark — 3University of Konstanz, Konstanz, Germany
Our research focuses on classifying different molecules with the help of Mechanically Controlled Break Junction (MCBJ). Here we present two different kinds of measurements. One is performed in a liquid solution and under ambient conditions, and the other one in a cryogenic environment, under vacuum. As a testbed for these measurements, we use salen and C60 molecules respectively. We show how this data fits to the basic Single Level Model and what are the possible pitfalls of this approach. As an alternative, we offer modified versions of the SLM and compare them at predicting the transport properties of the molecules. Furthermore, due to the inherently stochastic processes of molecular binding to the nanoscopic junction, we propose an efficient approach based on the Machine Learning to further cluster the data into subsets. By using auto-encoders and decision trees with minimal amounts of supervised learning we can cluster large quantities of data. This allows us to evaluate different binding positions and events, with most appropriate models, and extract the underlying data.