The automation of robust interatomic-force measurements

Area of Science:

• Nanotechnology
• Materials Science
• Surface Science

Background:

• Frequency-modulation atomic force microscopy (FM-AFM) is crucial for interatomic-force measurements.
• Accurate conversion of frequency shifts to forces is essential but can be unreliable.
• The inflection point test was proposed to validate force data, but lacks automated implementation.

Purpose of the Study:

• To advance the theoretical framework of the inflection point test for FM-AFM.
• To develop efficient, automated algorithms for practical implementation of the inflection point test.
• To create user-friendly software integrating automated force conversion and validation.

Main Methods:

• Theoretical refinement of the inflection point test.
• Development of algorithms for automated inflection point detection and force calculation.
• Application of the developed software to experimental datasets in ultrahigh vacuum and liquid environments.

Main Results:

• An advanced theoretical framework for the inflection point test.
• Fully automated algorithms enabling efficient and reliable force data validation.
• Demonstrated utility of the automated system on diverse experimental data.
• Development of integrated, user-friendly software for robust force measurements.

Conclusions:

• Automated inflection point testing significantly improves the reliability of FM-AFM force measurements.
• The developed software provides a seamless solution for robust nanoscale and interatomic-force analysis.
• This work enables routine, accurate force conversion, advancing interatomic-force microscopy applications.