Towards organic electronics that learn at the body-machine interface: A materials journey
Abstract It has been over four decades since organic semiconducting materials were said to revolutionize the way we interact with electronics. As many had started to argue that organic semiconductors are a dying field of research, we have recently seen a rebirth and a major push towards...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer International Publishing
2022
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| Online Access: | https://hdl.handle.net/1721.1/145479 |
| _version_ | 1811077563926183936 |
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| author | Roh, Heejung Cunin, Camille Samal, Sanket Gumyusenge, Aristide |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Roh, Heejung Cunin, Camille Samal, Sanket Gumyusenge, Aristide |
| author_sort | Roh, Heejung |
| collection | MIT |
| description | Abstract
It has been over four decades since organic semiconducting materials were said to revolutionize the way we interact with electronics. As many had started to argue that organic semiconductors are a dying field of research, we have recently seen a rebirth and a major push towards adaptive on-body computing using organic materials. Whether assisted by the publicity of neuroprosthetics through technological giants (e.g., Elon Musk) or sparked by software capabilities to handle larger datasets than before, we are witnessing a surge in the design and fabrication of organic electronics that can learn and adapt at the physiological interface. Organic materials, especially conjugated polymers, are envisioned to play a key role in the next generation of healthcare devices and smart prosthetics. This prospective is a forward-looking journey for materials makers aiming to (i) uncover generational shortcomings of conjugated polymers, (ii) highlight how fundamental chemistry remains a vital tool for designing novel materials, and (iii) outline key material considerations for realizing electronics that can adapt to physiological environments. The goal is to provide an application-guided overview of design principles that must be considered towards next generation organic semiconductors for adaptive electronics.
Graphical abstract |
| first_indexed | 2024-09-23T10:45:01Z |
| format | Article |
| id | mit-1721.1/145479 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:45:01Z |
| publishDate | 2022 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1454792022-09-30T22:43:36Z Towards organic electronics that learn at the body-machine interface: A materials journey Roh, Heejung Cunin, Camille Samal, Sanket Gumyusenge, Aristide Massachusetts Institute of Technology. Department of Mechanical Engineering Abstract It has been over four decades since organic semiconducting materials were said to revolutionize the way we interact with electronics. As many had started to argue that organic semiconductors are a dying field of research, we have recently seen a rebirth and a major push towards adaptive on-body computing using organic materials. Whether assisted by the publicity of neuroprosthetics through technological giants (e.g., Elon Musk) or sparked by software capabilities to handle larger datasets than before, we are witnessing a surge in the design and fabrication of organic electronics that can learn and adapt at the physiological interface. Organic materials, especially conjugated polymers, are envisioned to play a key role in the next generation of healthcare devices and smart prosthetics. This prospective is a forward-looking journey for materials makers aiming to (i) uncover generational shortcomings of conjugated polymers, (ii) highlight how fundamental chemistry remains a vital tool for designing novel materials, and (iii) outline key material considerations for realizing electronics that can adapt to physiological environments. The goal is to provide an application-guided overview of design principles that must be considered towards next generation organic semiconductors for adaptive electronics. Graphical abstract 2022-09-19T13:56:09Z 2022-09-19T13:56:09Z 2022-09-16 2022-09-18T03:13:30Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/145479 Roh, Heejung, Cunin, Camille, Samal, Sanket and Gumyusenge, Aristide. 2022. "Towards organic electronics that learn at the body-machine interface: A materials journey." PUBLISHER_CC en https://doi.org/10.1557/s43579-022-00269-3 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer International Publishing Springer International Publishing |
| spellingShingle | Roh, Heejung Cunin, Camille Samal, Sanket Gumyusenge, Aristide Towards organic electronics that learn at the body-machine interface: A materials journey |
| title | Towards organic electronics that learn at the body-machine interface: A materials journey |
| title_full | Towards organic electronics that learn at the body-machine interface: A materials journey |
| title_fullStr | Towards organic electronics that learn at the body-machine interface: A materials journey |
| title_full_unstemmed | Towards organic electronics that learn at the body-machine interface: A materials journey |
| title_short | Towards organic electronics that learn at the body-machine interface: A materials journey |
| title_sort | towards organic electronics that learn at the body machine interface a materials journey |
| url | https://hdl.handle.net/1721.1/145479 |
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