Abstract
We validate the utility of machine learning techniques for distinguishing different break junction configurations. Furthermore, we demonstrate that the different classes of traces can be mechanistically and independently analyzed, leading to additional physical insight into molecular conductance.
| Original language | English |
|---|---|
| Article number | 136101 |
| Journal | Applied Physics Letters |
| Volume | 117 |
| Issue number | 13 |
| DOIs | |
| State | Published - Sep 28 2020 |
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