MoS2 Quantum Dot-Optimized Conductive Channels for a Conjugated Polymer-Based Synaptic Memristor
Donor-acceptor-type conjugated polymers are widely used in memristors due to their unique push-pull electron structures and charge transfer mechanisms. However, the inherently inhomogeneous microstructure of polymer films and their low crystallinity produce randomness that destabilizes formed conductive channels, giving polymer-based memristors unstable switching behavior. In this contribution, we prepared a synaptic device based on PM6-MoS2 QD (molybdenum disulfide quantum dot) nanocomposites. In the composites, MoS2 QDs provided the active centers for forming conductive channels via electron trapping and detrapping. They also controlled the directional formation of conductive channels between PM6 and MoS2 QDs, reducing randomness and giving devices a narrow switching voltage range and cycling longevity. The device exhibited continuous multistage conductance states under a direct current voltage sweep and simulated a variety of synaptic functions, including long-term potentiation, long-term depression, short-term potentiation, short-term depression, paired-pulse facilitation, spiking-rate-dependent plasticity, and "learning experience" behavior. The memristor could also perform arithmetic, including "counting" and "subtraction" operations. This work provides a new approach to improving the performance of memristors for neuromorphic computing.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2023 |
---|---|
Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
---|---|
Enthalten in: |
ACS applied materials & interfaces - 15(2023), 51 vom: 27. Dez., Seite 59630-59642 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Zhang, Qiongshan [VerfasserIn] |
---|
Links: |
---|
Themen: |
Biomimetic synapses |
---|
Anmerkungen: |
Date Revised 27.12.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1021/acsami.3c12674 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM365937363 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM365937363 | ||
003 | DE-627 | ||
005 | 20231229123953.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231227s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1021/acsami.3c12674 |2 doi | |
028 | 5 | 2 | |a pubmed24n1240.xml |
035 | |a (DE-627)NLM365937363 | ||
035 | |a (NLM)38103041 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Zhang, Qiongshan |e verfasserin |4 aut | |
245 | 1 | 0 | |a MoS2 Quantum Dot-Optimized Conductive Channels for a Conjugated Polymer-Based Synaptic Memristor |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 27.12.2023 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a Donor-acceptor-type conjugated polymers are widely used in memristors due to their unique push-pull electron structures and charge transfer mechanisms. However, the inherently inhomogeneous microstructure of polymer films and their low crystallinity produce randomness that destabilizes formed conductive channels, giving polymer-based memristors unstable switching behavior. In this contribution, we prepared a synaptic device based on PM6-MoS2 QD (molybdenum disulfide quantum dot) nanocomposites. In the composites, MoS2 QDs provided the active centers for forming conductive channels via electron trapping and detrapping. They also controlled the directional formation of conductive channels between PM6 and MoS2 QDs, reducing randomness and giving devices a narrow switching voltage range and cycling longevity. The device exhibited continuous multistage conductance states under a direct current voltage sweep and simulated a variety of synaptic functions, including long-term potentiation, long-term depression, short-term potentiation, short-term depression, paired-pulse facilitation, spiking-rate-dependent plasticity, and "learning experience" behavior. The memristor could also perform arithmetic, including "counting" and "subtraction" operations. This work provides a new approach to improving the performance of memristors for neuromorphic computing | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a MoS2 quantum dot | |
650 | 4 | |a biomimetic synapses | |
650 | 4 | |a conjugated polymer | |
650 | 4 | |a memristor | |
650 | 4 | |a nanocomposite | |
700 | 1 | |a Jiang, Qizhi |e verfasserin |4 aut | |
700 | 1 | |a Fan, Fei |e verfasserin |4 aut | |
700 | 1 | |a Liu, Gang |e verfasserin |4 aut | |
700 | 1 | |a Chen, Yu |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Bin |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t ACS applied materials & interfaces |d 2009 |g 15(2023), 51 vom: 27. Dez., Seite 59630-59642 |w (DE-627)NLM194100049 |x 1944-8252 |7 nnns |
773 | 1 | 8 | |g volume:15 |g year:2023 |g number:51 |g day:27 |g month:12 |g pages:59630-59642 |
856 | 4 | 0 | |u http://dx.doi.org/10.1021/acsami.3c12674 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 15 |j 2023 |e 51 |b 27 |c 12 |h 59630-59642 |