Physically informed machine-learning algorithms for the identification of two-dimensional atomic crystals

HIGHLIGHTS

• who: Laura Zichi from the DepartmentUniversity of have published the paper: Physically informed machine-learning algorithms for the identification of two-dimensional atomic crystals, in the Journal: Scientific Reports Scientific Reports of 29/09/2022
• what: The authors compare the accuracies of the tree-based algorithms and CNNs on datasets of the images recreated with 5 and 20 colors.

SUMMARY

Optical images used in this study include transition metal dichalcogenide (TMD) flakes on ­SiO2/Si substrate, TMD flakes on Polydimethylsiloxane (PDMS), and TMD flakes on S­ iO2/Si and PDMS (if . . .

 



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