Correlations between Thermal Parameters and Glass Forming Abilities of Bulk Metallic Glasses Unveiled by Datamining

Fatiha Saidi; Ibrahim S. Yahia; Heba Y. Zahran; Hamed Algarni

doi:10.1149/2162-8777/ac8ba6

Correlations between Thermal Parameters and Glass Forming Abilities of Bulk Metallic Glasses Unveiled by Datamining

Fatiha Saidi
, Ibrahim S. Yahia
, Heba Y. Zahran
, Hamed Algarni

Abou Bakr Belkaïd University of Tlemcen
High School in Electrical and Energetic Engineering ESGEE—
King Khalid University
Ain Shams University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Datamining informatics techniques such as principal component analysis (PCA) and partial least squares (PLS) were applied to identify the composition characteristics of bulk metallic glasses with high glass forming abilities. It was pointed out that the reduced glass transition temperature T _g /T _l was comparatively the best indicator but no single indicator can reflect all the glass forming abilities of different alloy systems.

Original language	English
Article number	091004
Journal	ECS Journal of Solid State Science and Technology
Volume	11
Issue number	9
DOIs	https://doi.org/10.1149/2162-8777/ac8ba6
State	Published - Sep 2022
Externally published	Yes

Keywords

bulk metallic glasses.
datamining
glass forming ability

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10.1149/2162-8777/ac8ba6

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title = "Correlations between Thermal Parameters and Glass Forming Abilities of Bulk Metallic Glasses Unveiled by Datamining",

abstract = "Datamining informatics techniques such as principal component analysis (PCA) and partial least squares (PLS) were applied to identify the composition characteristics of bulk metallic glasses with high glass forming abilities. It was pointed out that the reduced glass transition temperature T g /T l was comparatively the best indicator but no single indicator can reflect all the glass forming abilities of different alloy systems.",

keywords = "bulk metallic glasses., datamining, glass forming ability",

author = "Fatiha Saidi and Yahia, \{Ibrahim S.\} and Zahran, \{Heba Y.\} and Hamed Algarni",

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T1 - Correlations between Thermal Parameters and Glass Forming Abilities of Bulk Metallic Glasses Unveiled by Datamining

AU - Saidi, Fatiha

AU - Yahia, Ibrahim S.

AU - Zahran, Heba Y.

AU - Algarni, Hamed

PY - 2022/9

Y1 - 2022/9

N2 - Datamining informatics techniques such as principal component analysis (PCA) and partial least squares (PLS) were applied to identify the composition characteristics of bulk metallic glasses with high glass forming abilities. It was pointed out that the reduced glass transition temperature T g /T l was comparatively the best indicator but no single indicator can reflect all the glass forming abilities of different alloy systems.

AB - Datamining informatics techniques such as principal component analysis (PCA) and partial least squares (PLS) were applied to identify the composition characteristics of bulk metallic glasses with high glass forming abilities. It was pointed out that the reduced glass transition temperature T g /T l was comparatively the best indicator but no single indicator can reflect all the glass forming abilities of different alloy systems.

KW - bulk metallic glasses.

KW - datamining

KW - glass forming ability

UR - https://www.scopus.com/pages/publications/85137895030

U2 - 10.1149/2162-8777/ac8ba6

DO - 10.1149/2162-8777/ac8ba6

M3 - Article

AN - SCOPUS:85137895030

SN - 2162-8769

VL - 11

JO - ECS Journal of Solid State Science and Technology

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M1 - 091004

ER -

Correlations between Thermal Parameters and Glass Forming Abilities of Bulk Metallic Glasses Unveiled by Datamining

Abstract

Keywords

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