Virtual Production Line for Solar Cell Processing
The importance of semiconductor industries necessitates a corresponding focus on developing students to advance the industry. It is recognized that there is a difficulty in transitioning new approaches from the laboratory to fabrication (lab-to-fab). A production environment has extensive inter-relation between different processes. Moreover, the success of a production environment relies on concepts of yield and optimization of a process for large-scale production, which are not typically introduced or used in most university research environments. Further, the lack of access to large-scale data means that the use of statistical design tools is done using either "made-up" data or examples from other industries. Important, students cannot design an experiment in the courses, testing their statistical design or understanding by changing parameters and examining the outputs. A virtual production line for solar cells, initially developed by UNSW and with Jeff Cotter, enables complex processing to be taught via simulatoins.
Authors
- Stuart Bowden (ORCID: https://orcid.org/0000-0003-0005-380X)
- Stephen M. Goodnick (ORCID: https://orcid.org/0000-0002-2026-6274)
- Nicholas Rolston (ORCID: https://orcid.org/0000-0001-8093-1689)
- Richard R. King (ORCID: https://orcid.org/0000-0002-9778-1581)
- Michael Goryll
- Christiana B. Honsberg (ORCID: https://orcid.org/0009-0007-8756-2338)
- J.E. Cotter
Institutions
- Arizona State University (US)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/pvsc59419.2025.11132879
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00