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Kort-Kamp WJM, Murdick RA, Htoon H, Jones AC. Utilization of coupled eigenmodes in Akiyama atomic force microscopy probes for bimodal multifrequency sensing. NANOTECHNOLOGY 2022; 33:455501. [PMID: 35853401 DOI: 10.1088/1361-6528/ac8232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Akiyama atomic force microscopy probes represent a unique means of combining several of the desirable properties of tuning fork and cantilever probe designs. As a hybridized mechanical resonator, the vibrational characteristics of Akiyama probes result from a complex coupling between the intrinsic vibrational eigenmodes of its constituent tuning fork and bridging cantilever components. Through a combination of finite element analysis modeling and experimental measurements of the thermal vibrations of Akiyama probes we identify a complex series of vibrational eigenmodes and measure their frequencies, quality factors, and spring constants. We then demonstrate the viability of Akiyama probes to perform bimodal multi-frequency force sensing by performing a multimodal measurement of a surface's nanoscale photothermal response using photo-induced force microscopy imaging techniques. Further performing a parametric search over alternative Akiyama probe geometries, we propose two modified probe designs to enhance the capability of Akiyama probes to perform sensitive bimodal multifrequency force sensing measurements.
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Affiliation(s)
- Wilton J M Kort-Kamp
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, United States of America
| | - Ryan A Murdick
- Renaissance Scientific, Boulder, Colorado United States of America
| | - Han Htoon
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, United States of America
| | - Andrew C Jones
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, United States of America
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Rong P, Zhang F, Yang Q, Chen H, Shi Q, Zhong S, Chen Z, Wang H. Processing Laue Microdiffraction Raster Scanning Patterns with Machine Learning Algorithms: A Case Study with a Fatigued Polycrystalline Sample. MATERIALS 2022; 15:ma15041502. [PMID: 35208042 PMCID: PMC8877650 DOI: 10.3390/ma15041502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/18/2022] [Accepted: 02/09/2022] [Indexed: 02/01/2023]
Abstract
The massive amount of diffraction images collected in a raster scan of Laue microdiffraction calls for a fast treatment with little if any human intervention. The conventional method that has to index diffraction patterns one-by-one is laborious and can hardly give real-time feedback. In this work, a data mining protocol based on unsupervised machine learning algorithm was proposed to have a fast segmentation of the scanning grid from the diffraction patterns without indexation. The sole parameter that had to be set was the so-called “distance threshold” that determined the number of segments. A statistics-oriented criterion was proposed to set the “distance threshold”. The protocol was applied to the scanning images of a fatigued polycrystalline sample and identified several regions that deserved further study with, for instance, differential aperture X-ray microscopy. The proposed data mining protocol is promising to help economize the limited beamtime.
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Affiliation(s)
- Peng Rong
- Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu 610073, China;
| | - Fengguo Zhang
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
- Anhui Province Engineering Research Center of Aluminium Matrix Composites, Huaibei 235000, China
- SJTU-ParisTech Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
- Correspondence:
| | - Qing Yang
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
| | - Han Chen
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
| | - Qiwei Shi
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
- SJTU-ParisTech Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shengyi Zhong
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
- SJTU-ParisTech Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhe Chen
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
| | - Haowei Wang
- State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China; (Q.Y.); (H.C.); (Q.S.); (S.Z.); (Z.C.); (H.W.)
- SJTU-ParisTech Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China
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