Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing
Organic synaptic transistors (OSTs) using intrinsic polymer semiconductors are demonstrated to be suitable for neuromorphic bioelectronics. However, diketopyrrolopyrrole (DPP)‐based copolymers are not applicable to neuromorphic computing systems because the DPP polymer film has demonstrated only sho...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-09-01
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| Series: | Advanced Intelligent Systems |
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| Online Access: | https://doi.org/10.1002/aisy.202300016 |
| _version_ | 1797676523308711936 |
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| author | Naryung Kim Gyeong-Tak Go Hea-Lim Park Yooseong Ahn Jingwan Kim Yeongjun Lee Dae-Gyo Seo Wanhee Lee Yun-Hi Kim Hoichang Yang Tae-Woo Lee |
| author_facet | Naryung Kim Gyeong-Tak Go Hea-Lim Park Yooseong Ahn Jingwan Kim Yeongjun Lee Dae-Gyo Seo Wanhee Lee Yun-Hi Kim Hoichang Yang Tae-Woo Lee |
| author_sort | Naryung Kim |
| collection | DOAJ |
| description | Organic synaptic transistors (OSTs) using intrinsic polymer semiconductors are demonstrated to be suitable for neuromorphic bioelectronics. However, diketopyrrolopyrrole (DPP)‐based copolymers are not applicable to neuromorphic computing systems because the DPP polymer film has demonstrated only short‐term plasticity with short retention (<50 ms) in synaptic devices because of their intrinsic difficulty of electrochemical doping. To expand their applications toward neuromorphic computing that requires long‐term plasticity, artificial synapses with extended retention time should be developed. Herein, molecular tailoring approach to extend the retention time in the ion‐gel‐gated OSTs that use DPP is suggested. The molecular structure is controlled by changing alkyl spacer lengths of side chains. As a result, the doping process is more favorable in DPP with long alkyl spacer, which is confirmed by high doping concentration and slow dedoping rate. Therefore, dedoping of ions is more suppressed in DPP with long alkyl side chain that exhibits extended retention time (≈800 s) of the OSTs. These optimized DPP‐based OSTs obtain high pattern recognition accuracy of ≈96.0% in simulations of an artificial neural network. Molecular tailoring strategies provide a guideline to overcome the intrinsic problem of short synaptic retention time of the OSTs for use in neuromorphic computing. |
| first_indexed | 2024-03-11T22:30:27Z |
| format | Article |
| id | doaj.art-ee52969107924a10a51096ad77069161 |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-03-11T22:30:27Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-ee52969107924a10a51096ad770691612023-09-23T07:09:23ZengWileyAdvanced Intelligent Systems2640-45672023-09-0159n/an/a10.1002/aisy.202300016Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic ComputingNaryung Kim0Gyeong-Tak Go1Hea-Lim Park2Yooseong Ahn3Jingwan Kim4Yeongjun Lee5Dae-Gyo Seo6Wanhee Lee7Yun-Hi Kim8Hoichang Yang9Tae-Woo Lee10Department of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Chemical Engineering Inha University Incheon 22212 Republic of KoreaDepartment of Chemistry Gyeongsang National University and Research Institute of Green Energy Convergence Technology (RIGET) Jinju 52828 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaDepartment of Chemistry Gyeongsang National University and Research Institute of Green Energy Convergence Technology (RIGET) Jinju 52828 Republic of KoreaDepartment of Chemical Engineering Inha University Incheon 22212 Republic of KoreaDepartment of Materials Science and Engineering Seoul National University (SNU) 1 Gwanak-ro, Gwanak-gu Seoul 08826 Republic of KoreaOrganic synaptic transistors (OSTs) using intrinsic polymer semiconductors are demonstrated to be suitable for neuromorphic bioelectronics. However, diketopyrrolopyrrole (DPP)‐based copolymers are not applicable to neuromorphic computing systems because the DPP polymer film has demonstrated only short‐term plasticity with short retention (<50 ms) in synaptic devices because of their intrinsic difficulty of electrochemical doping. To expand their applications toward neuromorphic computing that requires long‐term plasticity, artificial synapses with extended retention time should be developed. Herein, molecular tailoring approach to extend the retention time in the ion‐gel‐gated OSTs that use DPP is suggested. The molecular structure is controlled by changing alkyl spacer lengths of side chains. As a result, the doping process is more favorable in DPP with long alkyl spacer, which is confirmed by high doping concentration and slow dedoping rate. Therefore, dedoping of ions is more suppressed in DPP with long alkyl side chain that exhibits extended retention time (≈800 s) of the OSTs. These optimized DPP‐based OSTs obtain high pattern recognition accuracy of ≈96.0% in simulations of an artificial neural network. Molecular tailoring strategies provide a guideline to overcome the intrinsic problem of short synaptic retention time of the OSTs for use in neuromorphic computing.https://doi.org/10.1002/aisy.202300016artificial synapsesion-gel-gated transistorsneuromorphic electronicsorganic electronicspolymeric semiconductors |
| spellingShingle | Naryung Kim Gyeong-Tak Go Hea-Lim Park Yooseong Ahn Jingwan Kim Yeongjun Lee Dae-Gyo Seo Wanhee Lee Yun-Hi Kim Hoichang Yang Tae-Woo Lee Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing Advanced Intelligent Systems artificial synapses ion-gel-gated transistors neuromorphic electronics organic electronics polymeric semiconductors |
| title | Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing |
| title_full | Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing |
| title_fullStr | Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing |
| title_full_unstemmed | Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing |
| title_short | Molecular Tailoring to Achieve Long‐Term Plasticity in Organic Synaptic Transistors for Neuromorphic Computing |
| title_sort | molecular tailoring to achieve long term plasticity in organic synaptic transistors for neuromorphic computing |
| topic | artificial synapses ion-gel-gated transistors neuromorphic electronics organic electronics polymeric semiconductors |
| url | https://doi.org/10.1002/aisy.202300016 |
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