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Embedding human heuristics in machine-learning-enabled probe microscopy (2020)
Journal Article
Gordon, O. M., Junqueira, F. L. Q., & Moriarty, P. J. (2020). Embedding human heuristics in machine-learning-enabled probe microscopy. Machine Learning, 1(1), Article 015001. https://doi.org/10.1088/2632-2153/ab42ec

Scanning probe microscopists generally do not rely on complete images to assess the quality of data acquired during a scan. Instead, assessments of the state of the tip apex, which not only determines the resolution in any scanning probe technique, b... Read More about Embedding human heuristics in machine-learning-enabled probe microscopy.

Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles (2019)
Journal Article
Gordon, O., D'hondt, P., Knijff, L., Freeney, S., Junqueira, F., Moriarty, P., & Swart, I. (2019). Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles. Review of Scientific Instruments, 90(10), https://doi.org/10.1063/1.5099590

One of the largest obstacles facing scanning probe microscopy is the constant need to correct flaws in the scanning probe in situ. This is currently a manual, time-consuming process that would benefit greatly from automation. Here we introduce a conv... Read More about Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles Scanning Tunnelling State Recognition With Multi-Class Neural Network Ensembles.