Automated Tip Functionalization via Machine Learning in Scanning Probe Microscopy
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Alldritt, Benjamin | en_US |
dc.contributor.author | Urtev, Fedor | en_US |
dc.contributor.author | Oinonen, Niko | en_US |
dc.contributor.author | Aapro, Markus | en_US |
dc.contributor.author | Kannala, Juho | en_US |
dc.contributor.author | Liljeroth, Peter | en_US |
dc.contributor.author | Foster, Adam S. | en_US |
dc.contributor.department | Department of Applied Physics | en |
dc.contributor.department | Department of Computer Science | en |
dc.contributor.groupauthor | Professorship Kannala Juho | en |
dc.contributor.groupauthor | Surfaces and Interfaces at the Nanoscale | en |
dc.contributor.groupauthor | Atomic Scale Physics | en |
dc.contributor.groupauthor | Computer Science Professors | en |
dc.contributor.groupauthor | Computer Science - Artificial Intelligence and Machine Learning (AIML) | en |
dc.contributor.groupauthor | Computer Science - Visual Computing (VisualComputing) | en |
dc.date.accessioned | 2021-12-31T13:54:50Z | |
dc.date.available | 2021-12-31T13:54:50Z | |
dc.date.issued | 2022-04 | en_US |
dc.description | | openaire: EC/H2020/788185/EU//E-DESIGN | |
dc.description.abstract | Auto-CO-AFM is an open-source software package for scanning probe microscopes that enables the automatic functionalization of scanning probe tips with carbon monoxide molecules. This enables machine operators to specify the quality of the tip needed utilizing a pre-trained library with off-the-shelf software. From a single image, the software package can determine which molecules on a surface are carbon monoxide, perform the necessary tip functionalization procedures, interface with microscope software to control the tip position, and determine the centeredness of the tip after a successful functionalization. This is of particular interest for atomic force microscopy imaging of molecules on surfaces, where the tip functionalization is a necessary and time consuming step needed for sub-molecular resolution imaging. This package is freely available under the MIT License. | en |
dc.description.version | Peer reviewed | en |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Alldritt, B, Urtev, F, Oinonen, N, Aapro, M, Kannala, J, Liljeroth, P & Foster, A S 2022, ' Automated Tip Functionalization via Machine Learning in Scanning Probe Microscopy ', Computer Physics Communications, vol. 273, 108258 . https://doi.org/10.1016/j.cpc.2021.108258 | en |
dc.identifier.doi | 10.1016/j.cpc.2021.108258 | en_US |
dc.identifier.issn | 0010-4655 | |
dc.identifier.issn | 1879-2944 | |
dc.identifier.other | PURE UUID: 01927076-c327-45f7-b15c-d1db6c7d667b | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/01927076-c327-45f7-b15c-d1db6c7d667b | en_US |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85121563131&partnerID=8YFLogxK | en_US |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/77785520/Automated_tip_functionalization_via_machine_learning_in_scanning_probe_microscopy.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/111928 | |
dc.identifier.urn | URN:NBN:fi:aalto-2021123111068 | |
dc.language.iso | en | en |
dc.publisher | Elsevier Science B.V. | |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/788185/EU//E-DESIGN | en_US |
dc.relation.ispartofseries | Computer Physics Communications | en |
dc.rights | openAccess | en |
dc.title | Automated Tip Functionalization via Machine Learning in Scanning Probe Microscopy | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |