The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

被引：0
|
作者：
Headley, Connor V. [1 ]
Herrera del Valle, Roberto J. [1 ]
Ma, Ji [1 ]
Balachandran, Prasanna [1 ,2 ]
Ponnambalam, Vijayabarathi [3 ]
LeBlanc, Saniya [3 ]
Kirsch, Dylan [4 ,5 ]
Martin, Joshua B. [4 ]
机构：
[1] Department of Materials Science and Engineering, University of Virginia, Charlottesville,VA,22903, United States
[2] Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville,VA,22903, United States
[3] Department of Mechanical and Aerospace Engineering, George Washington University, Washington D.C.,20052, United States
[4] Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg,MD,20899, United States
[5] Department of Materials Science & Engineering, University of Maryland, College Park,MD,20742, United States
来源：
Journal of Manufacturing Processes | 2024年 / 116卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Iterative methods
引用
收藏
页码：165 / 175
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