Time-effective, unsupervised clustering techniques are exploited to discriminate nanometric metal disks patterned on a dielectric substrate. The discrimination relies on cluster analysis applied to time-resolved optical traces obtained from thermo-acoustic microscopy based on asynchronous optical sampling. The analysis aims to recognize similarities among nanopatterned disks and to cluster them accordingly. Each cluster is characterized by a fingerprint time-resolved trace, synthesizing the common features of the thermo-acoustics response of the composing elements. The protocol is robust and widely applicable, not relying on any specific knowledge of the physical mechanisms involved. The present route constitutes an alternative diagnostic tool for on-chip non-destructive testing of individual nano-objects.

Ronchi, A., Sterzi, A., Gandolfi, M., Belarouci, A., Giannetti, C., Fatti, N. D., Banfi, F., Ferrini, G., Discrimination of nano-objects via cluster analysis techniques applied to time-resolved thermo-acoustic microscopy, <<ULTRASONICS>>, 2021; 114 (N/A): N/A-N/A. [doi:10.1016/j.ultras.2021.106403] [http://hdl.handle.net/10807/178479]

Discrimination of nano-objects via cluster analysis techniques applied to time-resolved thermo-acoustic microscopy

Ronchi, Andrea
Primo
;
Gandolfi, Marco;Giannetti, Claudio;Banfi, Francesco
Penultimo
;
Ferrini, Gabriele
Ultimo
2021

Abstract

Time-effective, unsupervised clustering techniques are exploited to discriminate nanometric metal disks patterned on a dielectric substrate. The discrimination relies on cluster analysis applied to time-resolved optical traces obtained from thermo-acoustic microscopy based on asynchronous optical sampling. The analysis aims to recognize similarities among nanopatterned disks and to cluster them accordingly. Each cluster is characterized by a fingerprint time-resolved trace, synthesizing the common features of the thermo-acoustics response of the composing elements. The protocol is robust and widely applicable, not relying on any specific knowledge of the physical mechanisms involved. The present route constitutes an alternative diagnostic tool for on-chip non-destructive testing of individual nano-objects.
2021
Inglese
Ronchi, A., Sterzi, A., Gandolfi, M., Belarouci, A., Giannetti, C., Fatti, N. D., Banfi, F., Ferrini, G., Discrimination of nano-objects via cluster analysis techniques applied to time-resolved thermo-acoustic microscopy, <<ULTRASONICS>>, 2021; 114 (N/A): N/A-N/A. [doi:10.1016/j.ultras.2021.106403] [http://hdl.handle.net/10807/178479]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/178479
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