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Journal Articles

Accelerated and interpretable prediction of local properties in composites

Shengtong Zhang, Satyajit Mojumder, Wing Kam Liu, Wei Chen, Daniel W. Apley
Journal: APL Machine Learning
APL Mach. Learn. 1, 036112 (2023)
https://doi.org/10.1063/5.0156517
Published: September 2023
View article titled, Accelerated and interpretable prediction of local properties in composites
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Journal Articles

Deep ensemble inverse model for image-based estimation of solar cell parameters

M. Battaglia, E. Comi, T. Stadelmann, R. Hiestand, B. Ruhstaller, E. Knapp
Journal: APL Machine Learning
APL Mach. Learn. 1, 036108 (2023)
https://doi.org/10.1063/5.0139707
Published: July 2023
View article titled, Deep ensemble inverse model for image-based estimation of solar cell parameters
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Journal Articles

3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon

Kyoka Hara, Takuto Kojima, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami
Journal: APL Machine Learning
APL Mach. Learn. 1, 036106 (2023)
https://doi.org/10.1063/5.0156044
Published: July 2023
View article titled, 3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon
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Journal Articles

Machine learning guided optimal composition selection of niobium alloys for high temperature applications

Trupti Mohanty, K. S. Ravi Chandran, Taylor D. Sparks
Journal: APL Machine Learning
APL Mach. Learn. 1, 036102 (2023)
https://doi.org/10.1063/5.0129528
Published: July 2023
View article titled, Machine learning guided optimal composition selection of niobium alloys for high temperature applications
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Includes: Supplementary data
Journal Articles

Designing composition ratio of magnetic alloy multilayer for transverse thermoelectric conversion by Bayesian optimization

Naoki Chiba, Keisuke Masuda, Ken-ichi Uchida, Yoshio Miura
Journal: APL Machine Learning
APL Mach. Learn. 1, 026114 (2023)
https://doi.org/10.1063/5.0140332
Published: May 2023
View article titled, Designing composition ratio of magnetic alloy multilayer for transverse thermoelectric conversion by Bayesian optimization
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Includes: Supplementary data
Journal Articles

Glass transition of amorphous polymeric materials informed by machine learning

Anwen Hu, Yongdi Huang, Qionghai Chen, Wanhui Huang, Xiaohui Wu, Lihong Cui, Yining Dong, Jun Liu
Journal: APL Machine Learning
APL Mach. Learn. 1, 026111 (2023)
https://doi.org/10.1063/5.0137357
Published: May 2023
View article titled, Glass transition of amorphous polymeric materials informed by machine learning
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Includes: Supplementary data
Journal Articles

A machine learning framework for elastic constants predictions in multi-principal element alloys

Nathan Linton, Dilpuneet S. Aidhy
Journal: APL Machine Learning
APL Mach. Learn. 1, 016109 (2023)
https://doi.org/10.1063/5.0129928
Published: March 2023
View article titled, A machine learning framework for elastic constants predictions in multi-principal element alloys
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Includes: Supplementary data
Journal Articles

Machine learning assisted interpretation of creep and fatigue life in titanium alloys

Sucheta Swetlana, Ashish Rout, Abhishek Kumar Singh
Journal: APL Machine Learning
APL Mach. Learn. 1, 016102 (2023)
https://doi.org/10.1063/5.0129037
Published: February 2023
View article titled, Machine learning assisted interpretation of creep and fatigue life in titanium alloys
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Includes: Supplementary data