Balancing data for generalizable machine learning to predict glass-forming ability of ternary alloys

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Yi Yao ◽  
Timothy Sullivan ◽  
Feng Yan ◽  
Jiaqi Gong ◽  
Lin Li
Keyword(s):  
Machine Learning ◽  
Glass Forming Ability ◽  
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Glass Forming

scholarly journals Evaluation of the Glass-Forming Ability of Zr–Ti–Be Ternary Alloys Using the CALPHAD-Type Approach

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Glass Forming Ability ◽  
Ternary Alloys ◽  
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Hybrid Machine Learning/Physics-Based Approach for Predicting Oxide Glass-Forming Ability

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Cory Trivelpiece ◽  
Rob Hust ◽  
Rebecca S. Welch ◽  
Steve A. Feller ◽  
...  
Keyword(s):  
Machine Learning ◽  
Glass Forming Ability ◽  
Oxide Glass ◽  
Glass Forming ◽  
Hybrid Machine

Revisiting the glass-forming ability of Ti–Ni–Si ternary alloys

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Vol 475 (1-2) ◽  
pp. 157-164 ◽  
Author(s):  
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Yan-Ling Wang ◽  
Jian Xu
Keyword(s):  
Glass Forming Ability ◽  
Ternary Alloys ◽  
Glass Forming

scholarly journals Effect of Yttrium Addition on Thermal Stability and Glass Forming Ability in Fe-TM (Mn, Mo, Ni)-B Ternary Alloys

2004 ◽  
Vol 45 (8) ◽  
pp. 2770-2775 ◽  
Author(s):  
Ji-Hun Kim ◽  
Joon Sik Park ◽  
Eric Fleury ◽  
Won Tae Kim ◽  
Do Hyang Kim
Keyword(s):  
Thermal Stability ◽  
Glass Forming Ability ◽  
Ternary Alloys ◽  
Glass Forming ◽  
Yttrium Addition
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