Engineering Conjugated Bridges in TPE-BT-Based Donor–Acceptor Molecules for Optimized Resistive Random Access Memory

Four donor-acceptor (D-A) type organic small molecules, namely, 4,7-bis(4-(1,2,2-triphenylvinyl)phenyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-BT), 4,7-bis((4-(1,2,2-triphenylvinyl)phenyl)ethynyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-<i>ynl</i>-BT), 4,7-bis(5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2-yl)benzo[<i>c</i>][1,2,5]thiadiazole (TPE-<i>Th</i>-BT), and 4,7-bis((5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2yl)ethynyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-<i>Th</i>-<i>ynl</i>-BT), each incorporating unique conjugated bridges, are designed, synthesized, and integrated into resistive random access memory (RRAM) devices. Current-voltage (<i>I-V</i>) measurements indicate that the TPE-BT, TPE-<i>ynl</i>-BT and TPE-<i>Th</i>-BT based devices exhibit write-once-read-many-times (WORM) characteristics, while TPE<i>-Th-yn</i>l-BT based devices show a stable flash-type switching behavior. In comparison to TPE-BT, the memory devices constructed with TPE-<i>ynl</i>-BT, TPE-<i>Th</i>-BT and TPE-<i>Th</i>-<i>ynl</i>-BT, which include additional conjugated bridges, exhibit nonvolatile memory capabilities with reduced threshold voltages, higher <i>I</i><sub>ON</sub>/<i>I</i><sub>OFF</sub> (10<sup>4</sup>:1), enhanced stability, and improved reproducibility. The photophysical, electrochemical analyses, and X-ray diffraction (XRD) results reveal that incorporating conjugated bridges within molecular structures can enhance data storage performance while reducing power consumption. Our findings demonstrate that these conjugated bridges play a crucial role in optimizing electrical memory characteristics and resistive switching behavior. Moreover, the device fabricated with TPE-<i>Th-ynl</i>-BT is effectively applied to logic gate circuits and American Standard Code for Information Interchange (ASCII) art function, highlighting its promising potential as a smart sensor within artificial intelligence (AI) networks.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-05-02
DOI
https://doi.org/10.1021/acsami.5c03859
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

Engineering Conjugated Bridges in TPE-BT-Based Donor–Acceptor Molecules for Optimized Resistive Random Access Memory

Hong Lian, Shuanglong Wang, Xinyu Jiang, Tianfu Guan et al.
3 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
2.19
article

Engineering Conjugated Bridges in TPE-BT-Based Donor–Acceptor Molecules for Optimized Resistive Random Access Memory

Hong Lian, Shuanglong Wang, Xinyu Jiang, Tianfu Guan, Qingchen Dong, Tianxiao Xiao, Liang Zhao, Peter Müller‐Buschbaum, Xinwei Liu, Zhitao Qin
article en
3 citations

Abstract

Four donor-acceptor (D-A) type organic small molecules, namely, 4,7-bis(4-(1,2,2-triphenylvinyl)phenyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-BT), 4,7-bis((4-(1,2,2-triphenylvinyl)phenyl)ethynyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-<i>ynl</i>-BT), 4,7-bis(5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2-yl)benzo[<i>c</i>][1,2,5]thiadiazole (TPE-<i>Th</i>-BT), and 4,7-bis((5-(4-(1,2,2-triphenylvinyl)phenyl)thiophen-2yl)ethynyl)benzo[<i>c</i>][1,2,5]thiadiazole(TPE-<i>Th</i>-<i>ynl</i>-BT), each incorporating unique conjugated bridges, are designed, synthesized, and integrated into resistive random access memory (RRAM) devices. Current-voltage (<i>I-V</i>) measurements indicate that the TPE-BT, TPE-<i>ynl</i>-BT and TPE-<i>Th</i>-BT based devices exhibit write-once-read-many-times (WORM) characteristics, while TPE<i>-Th-yn</i>l-BT based devices show a stable flash-type switching behavior. In comparison to TPE-BT, the memory devices constructed with TPE-<i>ynl</i>-BT, TPE-<i>Th</i>-BT and TPE-<i>Th</i>-<i>ynl</i>-BT, which include additional conjugated bridges, exhibit nonvolatile memory capabilities with reduced threshold voltages, higher <i>I</i><sub>ON</sub>/<i>I</i><sub>OFF</sub> (10<sup>4</sup>:1), enhanced stability, and improved reproducibility. The photophysical, electrochemical analyses, and X-ray diffraction (XRD) results reveal that incorporating conjugated bridges within molecular structures can enhance data storage performance while reducing power consumption. Our findings demonstrate that these conjugated bridges play a crucial role in optimizing electrical memory characteristics and resistive switching behavior. Moreover, the device fabricated with TPE-<i>Th-ynl</i>-BT is effectively applied to logic gate circuits and American Standard Code for Information Interchange (ASCII) art function, highlighting its promising potential as a smart sensor within artificial intelligence (AI) networks.

ACS Applied Materials & InterfacesVol. 17(19)
Shanghai University (CN), Chinese University of Hong Kong (HK), Deutsches Elektronen-Synchrotron DESY (DE), Technical University of Munich (DE), Taiyuan University of Technology (CN)
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 12%
Advanced Memory and Neural Computing
2.19
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