| dc.contributor.advisor | Bulovic, Vladimir | |
| dc.contributor.author | Motes, Brandon | |
| dc.date.accessioned | 2023-01-19T18:42:15Z | |
| dc.date.available | 2023-01-19T18:42:15Z | |
| dc.date.issued | 2022-09 | |
| dc.date.submitted | 2022-09-16T20:24:28.275Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/147276 | |
| dc.description.abstract | Material science is a critical discipline that supports all other science and engineering disciplines, however current research processes are inefficient and limiting the pace of research. Automated high-throughput characterization shows potential to accelerate this research pace. This thesis presents a solution for automated high-throughput characterization with discussion of key attributes and design elements and demonstrates a working prototype. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright MIT | |
| dc.rights.uri | http://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Automated High-Throughput Characterization of Perovskite Photovoltaic Devices | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |
