Thursday, 9am - 12pm
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This class is graded P/D/F. To pass, you must: (i) attend all the cleanroom sessions, (ii) work in a team setting, (iii) finalize your image processing for the image contest, (iv) write a scientific paper/article on the research findings as a team, and (v) demo the final device functionally. By the end of Class #1, students must decide whether to register or drop the course.
Decoders 1.2 builds on the combination of knowledge and skills learned in D1.0 and D1.1, respectively, to guide students in developing their own mechanically adaptive (i.e., stretchable and flexible) piezoelectric systems. Students will learn how to write an article about their research findings that will be published on the course website by the end of semester. The midterm project is to submit an image of a process and/or a device component with an artistic/personal view. Students show how their personality reflects on projects and more broadly to make potential changes on society. The images can be edited using any software such as Photoshop to reflect social and emotional vision with the device part. Recognitions are given to all images (e.g., ‘The best color’) at the Image Contest. The mini videos taken by students throughout the semester result in the final video of the project development.
Yuan, J.*, Dagdeviren, C.*, Shi, Y., Ma, Y., Feng, X., Rogers, J.A., Huang, Y., Proceedings of the Royal Society A – Mathematical, Physical and Engineering Sciences, 472:20160225, 2016.