2021
DOI: 10.1016/j.jmapro.2021.03.044
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Feasibility of artificial neural network on modeling laser-induced colors on stainless steel

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Cited by 13 publications
(1 citation statement)
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“…In this regard, several methods have been developed to fabricate surface-supported nanostructures [2,3]. Among these methods, laserinduced nanostructure has the advantages of generating micrometer to nanometer structures, low thermal damage, non-contact nature, flexibility, non-planar fabrication [4][5][6]. Moreover, the possibility of creating a broad range of nanostructure by simply selecting the laser parameters (such as energy density, pulse duration, wavelength, and the number of pulses) gives laser-induced nanostructure a distinct advantage over other methods [7].…”
Section: Introductionmentioning
confidence: 99%
“…In this regard, several methods have been developed to fabricate surface-supported nanostructures [2,3]. Among these methods, laserinduced nanostructure has the advantages of generating micrometer to nanometer structures, low thermal damage, non-contact nature, flexibility, non-planar fabrication [4][5][6]. Moreover, the possibility of creating a broad range of nanostructure by simply selecting the laser parameters (such as energy density, pulse duration, wavelength, and the number of pulses) gives laser-induced nanostructure a distinct advantage over other methods [7].…”
Section: Introductionmentioning
confidence: 99%