Interpretable Machine Learning Approach for Identifying the Tip Sharpness in Atomic Force Microscopy

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@article{85122e11392342e28ad83577978b9660,

title = "Interpretable Machine Learning Approach for Identifying the Tip Sharpness in Atomic Force Microscopy",

author = "Mohd Zaki and S. Kasimuthumaniyan and Sourav Sahoo and Jayadeva and Gosvami, \{Nitya Nand\} and Krishnan, \{N. M. Anoop\}",

year = "2022",

month = dec,

doi = "10.1016/j.scriptamat.2022.114965",

language = "English",

journal = "Scripta Materialia",

issn = "1359-6462",

publisher = "Acta Materialia Inc",

}

TY - JOUR

T1 - Interpretable Machine Learning Approach for Identifying the Tip Sharpness in Atomic Force Microscopy

AU - Zaki, Mohd

AU - Kasimuthumaniyan, S.

AU - Sahoo, Sourav

AU - Jayadeva, null

AU - Gosvami, Nitya Nand

AU - Krishnan, N. M. Anoop

PY - 2022/12

Y1 - 2022/12

UR - https://doi.org/10.1016/j.scriptamat.2022.114965

U2 - 10.1016/j.scriptamat.2022.114965

DO - 10.1016/j.scriptamat.2022.114965

M3 - Journal article

SN - 1359-6462

JO - Scripta Materialia

JF - Scripta Materialia

ER -