Multi‐level Nonvolatile Transistor Memory With Optical Rewritability Utilizing Reverse‐Bias P‐N Junction of Oriented Rod‐Like Organic Molecules

Abstract Electret has been extensively utilized as a charge‐trapping layer in organic phototransistor memory applications; nevertheless, the intricate nature of the unique structural configuration posed challenges regarding manipulating device characteristics and performance. Research on understanding material‐driven electronic performance in single‐component phototransistor memory is insufficient. This study highlights the morphology‐dependent characteristics of phototransistor memory composed of a single‐component only, followed by the expansion of optical manipulability by introducing heterojunction. A combined approach involving crystallographic and the intrinsic transistor field‐effect is employed to illustrate the intricate balance that exists between intermolecular, intercrystalline, as well as the charge transfer at the conjugated core and the carriers confinement at the non‐conjugated region. Ultimately, a novel concept of single‐component phototransistor memory is introduced. Given the performance stability of the devices, the emphasis is placed on fully optical programming. The mechanisms of charge transfer and charge trapping effect at heterojunctions under illumination remain challenging to explain. Consequently, a simplified stacking design utilizing molecular systems has been created. A P‐N junction configuration is designed in the studied N‐type phototransistor memory, demonstrating enriched minority carriers to modulate the content of trapped charges and thus leading its memory state switching without applying additional gate bias.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-11-05
DOI
https://doi.org/10.1002/adfm.202416306
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21

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article

Multi‐level Nonvolatile Transistor Memory With Optical Rewritability Utilizing Reverse‐Bias P‐N Junction of Oriented Rod‐Like Organic Molecules

Yi‐Sa Lin, Yu‐Cheng Chiu, Ender Ercan, Yan‐Cheng Lin et al.
1 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
0.21
article

Multi‐level Nonvolatile Transistor Memory With Optical Rewritability Utilizing Reverse‐Bias P‐N Junction of Oriented Rod‐Like Organic Molecules

Yi‐Sa Lin, Yu‐Cheng Chiu, Ender Ercan, Yan‐Cheng Lin, Chih‐Chien Hung, Wei‐Cheng Chen, Jin‐Chieh Ho
article en
1 citations

Abstract

Abstract Electret has been extensively utilized as a charge‐trapping layer in organic phototransistor memory applications; nevertheless, the intricate nature of the unique structural configuration posed challenges regarding manipulating device characteristics and performance. Research on understanding material‐driven electronic performance in single‐component phototransistor memory is insufficient. This study highlights the morphology‐dependent characteristics of phototransistor memory composed of a single‐component only, followed by the expansion of optical manipulability by introducing heterojunction. A combined approach involving crystallographic and the intrinsic transistor field‐effect is employed to illustrate the intricate balance that exists between intermolecular, intercrystalline, as well as the charge transfer at the conjugated core and the carriers confinement at the non‐conjugated region. Ultimately, a novel concept of single‐component phototransistor memory is introduced. Given the performance stability of the devices, the emphasis is placed on fully optical programming. The mechanisms of charge transfer and charge trapping effect at heterojunctions under illumination remain challenging to explain. Consequently, a simplified stacking design utilizing molecular systems has been created. A P‐N junction configuration is designed in the studied N‐type phototransistor memory, demonstrating enriched minority carriers to modulate the content of trapped charges and thus leading its memory state switching without applying additional gate bias.

Advanced Functional MaterialsVol. 35(9)
National Taiwan University of Science and Technology (TW), National Taiwan University (TW), National Cheng Kung University (TW)
Ministry of Education, Ministry of Science and Technology, Taiwan
Affordable and clean energy
Openalex Percentile: Top 46%
Advanced Memory and Neural Computing
0.21
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