The automation of robust interatomic-force measurements
- Creators
- Sader, John Elie
Abstract
Interatomic-force measurements are regularly performed using frequency-modulation atomic force microscopy. This requires conversion of the observed shift in the resonant frequency of a force-sensing cantilever to the actual force experienced by its tip. Recently, Sader et al. [Nat. Nanotechnol. 13, 1088 (2018)] showed that this force conversion can be unreliable and proposed the inflection point test to identify valid and robust force data. Efficient and user-friendly algorithms are required for its routine practical implementation, which currently do not exist. Here, we (1) advance the theoretical framework of the inflection point test, (2) develop the required efficient algorithms for its complete automation, and (3) demonstrate the utility of this automation by studying two experimental datasets, in ultrahigh vacuum and liquid. The principal outcome of this report is the development of user-friendly software that integrates this automation with a standard force conversion methodology. This software provides the enabling technology for practitioners to now seamlessly perform robust nanoscale and interatomic-force measurements.
Copyright and License
© 2020 Author(s). Published under license by AIP Publishing.
Acknowledgement
Any updates to the software will be available from the author, to whom feedback should be sent. The author thanks Ferdinand Huber and Franz Giessibl for providing their experimental data and interesting discussions, which motivated this work. Support from the Australian Research Council Centre of Excellence in Exciton Science (Grant No. CE170100026) and the Australian Research Council Grants Scheme is also gratefully acknowledged.
Data Availability
Data supporting the findings of this study are available from the author upon reasonable request.
Additional Information
See the supplementary material for the software, a user guide, and fit data for Sec. III.
Files
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md5:8300bec186abf7a841b35fbd1e62b640
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1.6 MB | Preview Download |
md5:9ad660ccc8b6005da332bad833a2cf16
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Additional details
- ISSN
- 1089-7623
- Australian Research Council
- CE170100026