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M
Martin Eberle
Swinburne University of Technology
3
H-index
7
Paper Count
31
Citation Count
0
Related Insights
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Published Papers
4
Publication Date
Publication Date
Impact Factor
Citations
Predicting Deposition Efficiency Across Diverse Cold Spray Process Parameters Using Machine Learning
JOURNAL OF THERMAL SPRAY TECHNOLOGY
IF
3.3
2025-04-09
0
OA
AI
Eberle, Martin; Pinches, Samuel; King, Hannah; Guzman, Pablo; Qin, Kai
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Porosity prediction of cold sprayed titanium parts using machine learning
COMPUTATIONAL MATERIALS SCIENCE
IF
3.3
2025-01-01
0
PRE
AI
Eberle, Martin; Pinches, Samuel; Tai, Wesley Kean Wah; Guzman, Pablo; King, Hannah; Zhou, Hailing; Ang, Andrew
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Application of machine learning for the prediction of particle velocity distribution and deposition efficiency for cold spraying titanium powder
COMPUTATIONAL MATERIALS SCIENCE
IF
3.3
2024-09-01
1
OA
AI
Eberle, Martin; Pinches, Samuel; Guzman, Pablo; King, Hannah; Zhou, Hailing; Ang, Andrew
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Analysis of Data Generation and Preparation for Porosity Prediction in Cold Spray using Machine Learning
JOURNAL OF THERMAL SPRAY TECHNOLOGY
IF
3.3
2024-04-10
4
OA
AI
Eberle, Martin; Pinches, Samuel; Osborne, Max; Qin, Kai; Ang, Andrew
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Co-authors
Cooperation Journals
A
A. K. Qin
H-index: 49 · Papers: 330
A
Andrew Siao Ming Ang
H-index: 26 · Papers: 163
H
Hailing Zhou
H-index: 20 · Papers: 104
H
H. H. King
H-index: 9 · Papers: 41
S
Samuel Pinches
H-index: 9 · Papers: 19
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