Machine learning prediction of magnetic properties of Fe-based metallic glasses considering glass forming ability

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Material Science

100
Glass Material Science
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Magnetic Property Material Science
100
Metallic Glass Material Science
16
Aggregate Material Science
16
Magnetism Material Science
16
Liquid Material Science

Keyphrases

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Magnetic Properties Keyphrases
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Glass Forming Abili... Keyphrases
100
Fe-based Metallic G... Keyphrases
100
Machine Learning Pr... Keyphrases
33
Performance Predict... Keyphrases
16
Root Mean Square Er... Keyphrases
16
Magnetism Keyphrases
16
Thermodynamic Kinet... Keyphrases
16
Artificial Neural N... Keyphrases
16
Machine Learning Te... Keyphrases
16
Supercooled Liquid ... Keyphrases
16
Commercial Value Keyphrases
16
Mean Absolute Perce... Keyphrases
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Coefficient of Dete... Keyphrases
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Three-machine Keyphrases
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Feature Selection Keyphrases
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Working Machines Keyphrases
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Glass Samples Keyphrases
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Condensed Matter Ph... Keyphrases
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Work-based Keyphrases
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Machine Learning Al... Keyphrases
16
Random Forest Keyphrases
16
Soft Magnetic Prope... Keyphrases
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Hyperparameter Tuni... Keyphrases
16
Saturated Magnetiza... Keyphrases
16
Machine Learning Mo... Keyphrases
16
XGBoost Keyphrases
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Thermodynamic Struc... Keyphrases
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Extreme Gradient Bo... Keyphrases
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Feature Importance ... Keyphrases
16
XGBoost Model Keyphrases
16
Split Test Keyphrases

INIS

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glass INIS
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prediction INIS
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metallic glasses INIS
100
machine learning INIS
100
magnetic properties INIS
33
accuracy INIS
33
errors INIS
33
performance INIS
16
algorithms INIS
16
values INIS
16
experimental data INIS
16
thermodynamics INIS
16
kinetics INIS
16
liquids INIS
16
randomness INIS
16
roots INIS
16
neural networks INIS
16
tuning INIS
16
magnetization INIS
16
magnetism INIS
16
exceptions INIS
16
physics INIS
16
forests INIS
16
datasets INIS

Chemical Engineering

100
Learning System Chemical Engineering
25
Neural Network Chemical Engineering
25
Chemical Kinetics C... Chemical Engineering
25
Thermodynamics Chemical Engineering
Research OutputsResearch Output authored by Machine learning prediction of magnetic properties of Fe-based metallic glasses considering glass forming ability is tagged with the concept