Search
Now showing items 1-2 of 2
Validating the use of machine learning techniques in evaluating additive manufactured elastic materials
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] As additive manufacturing continues to find widespread use in research and industry and the number of materials suitable for use in additive manufacturing, ...
Evaluation of process-structure-property relationships of carbon nanotube forests using simulation and deep learning
(University of Missouri--Columbia, 2020)
This work is aimed to explore process-structure-property relationships of carbon nanotube (CNT) forests. CNTs have superior mechanical, electrical and thermal properties that make them suitable for many applications. Yet, ...