Supporting Information
| Supporting Information File 1: MATLAB code used to simulate the presented feedback model. | ||
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Cite the Following Article
Control theory for scanning probe microscopy revisited
Julian Stirling
Beilstein J. Nanotechnol. 2014, 5, 337–345.
https://doi.org/10.3762/bjnano.5.38
How to Cite
Stirling, J. Beilstein J. Nanotechnol. 2014, 5, 337–345. doi:10.3762/bjnano.5.38
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- Prabhu, G. R. D.; Urban, P. L. Elevating Chemistry Research with a Modern Electronics Toolkit. Chemical reviews 2020, 120, 9482–9553. doi:10.1021/acs.chemrev.0c00206
- Wiedemeier, J.; Spencer, G.; Hagmann, M. J.; Mousa, M. S. Simulation and Analysis of Methods for Scanning Tunneling Microscopy Feedback Control. Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2019, 25, 554–560. doi:10.1017/s1431927619000278
- Settimi, V.; Rega, G. Exploiting Global Dynamics of a Noncontact Atomic Force Microcantilever to Enhance Its Dynamical Robustness via Numerical Control. International Journal of Bifurcation and Chaos 2016, 26, 1630018. doi:10.1142/s0218127416300184
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- Stirling, J.; Lekkas, I.; Sweetman, A.; Djuranovic, P.; Guo, Q.; Pauw, B. R.; Granwehr, J.; Lévy, R.; Moriarty, P. Critical assessment of the evidence for striped nanoparticles. PloS one 2014, 9, 108482. doi:10.1371/journal.pone.0108482
