Akshansh Mishra

Advent in machine learning is leaving a deep impact on various sectors including the material science domain. The present paper highlights the application of various supervised machine learning regression algorithms such as polynomial regression, decision tree regression algorithm, random forest algorithm, support vector regression algorithm and artificial neural network algorithm to determine the thin film thickness of Polystyrene on the glass substrates.

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[1] Akshansh Mishra, Devarrishi Dixit, "Thin film thickness of Polystyrene on the glass substrates ", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/hzb9-q353. Accessed: Dec. 26, 2024.
@data{hzb9-q353-20,
doi = {10.21227/hzb9-q353},
url = {http://dx.doi.org/10.21227/hzb9-q353},
author = {Akshansh Mishra; Devarrishi Dixit },
publisher = {IEEE Dataport},
title = {Thin film thickness of Polystyrene on the glass substrates },
year = {2020} }
TY - DATA
T1 - Thin film thickness of Polystyrene on the glass substrates
AU - Akshansh Mishra; Devarrishi Dixit
PY - 2020
PB - IEEE Dataport
UR - 10.21227/hzb9-q353
ER -
Akshansh Mishra, Devarrishi Dixit. (2020). Thin film thickness of Polystyrene on the glass substrates . IEEE Dataport. http://dx.doi.org/10.21227/hzb9-q353
Akshansh Mishra, Devarrishi Dixit, 2020. Thin film thickness of Polystyrene on the glass substrates . Available at: http://dx.doi.org/10.21227/hzb9-q353.
Akshansh Mishra, Devarrishi Dixit. (2020). "Thin film thickness of Polystyrene on the glass substrates ." Web.
1. Akshansh Mishra, Devarrishi Dixit. Thin film thickness of Polystyrene on the glass substrates [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/hzb9-q353
Akshansh Mishra, Devarrishi Dixit. "Thin film thickness of Polystyrene on the glass substrates ." doi: 10.21227/hzb9-q353