A generalized neural network approach for separation of molecular breaking traces
Source abstract
Abstract
The presented generalized neural network is a reliable and efficient tool for the separation of tunneling-only traces from break-junction data sets.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Quantum Nanoscience, Delft University of Technology, Delft 2628CJ, The Netherlands
Transport at Nanoscale Interfaces Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf CH-8600, Switzerland
References (18)
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