{"id":13766,"date":"2020-06-23T09:52:34","date_gmt":"2020-06-23T13:52:34","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=13766"},"modified":"2020-06-24T13:58:41","modified_gmt":"2020-06-24T17:58:41","slug":"tech-tools-defect-free-solar-cells","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2020\/06\/tech-tools-defect-free-solar-cells\/","title":{"rendered":"Tech Tools: Defect-Free Solar Cells"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-full wp-image-14103\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2020\/06\/Screen-Shot-2020-03-21-at-4.07.47-PM_larger.jpeg\" alt=\"Multi-Modal Spatial Spectroscopy\" width=\"288\" height=\"164\" \/>New technology for solar cells, based on materials such as organic polymers and quantum dots, offers several advantages over traditional silicon cells. These technologies are low cost, lightweight, and partially transparent for installation on new surfaces such as windows, but they currently cannot be scaled for large power production due to the many defects that are introduced during the manufacturing process.<\/p>\n<p><a href=\"https:\/\/engineering.jhu.edu\/ece\/faculty\/thon-susanna\/\" target=\"_blank\" rel=\"noopener noreferrer\">Susanna Thon<\/a>, an assistant professor in the Department of Electrical and Computer Engineering, invented a new measurement tool to address this problem. The tool, Multi-Modal Spatial Spectroscopy, can simultaneously produce spatial maps of all of the relevant parameters for solar cell performance. Thon\u2019s lab used this tool to find and classify defects in solar cells, allowing researchers to target and eventually fix specific types of defects.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-14022 alignleft\" src=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2020\/06\/figure0-300x205.jpeg\" alt=\"Diagram of Multi-Modal Spatial Spectroscopy\" width=\"300\" height=\"205\" srcset=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2020\/06\/figure0-300x205.jpeg 300w, https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2020\/06\/figure0.jpeg 444w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>The researchers also demonstrated how artificial intelligence methods could someday be used to automate this process, paving the way for defect-free solar cells.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Susanna Thon\u2019s lab used a new tool to find and classify defects in solar cells, allowing researchers to target and eventually fix specific types of defects.<\/p>\n","protected":false},"author":4,"featured_media":13910,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[1040,2734],"class_list":["post-13766","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-impact","tag-artificial-intelligence","tag-solar-cells","issue-summer-2020"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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