Chiroptical Synaptic Heterojunction Phototransistors Based on Self‐Assembled Nanohelix of π‐Conjugated Molecules for Direct Noise‐Reduced Detection of Circularly Polarized Light

Hanna Lee; Jun Ho Hwang; Seung Ho Song; Hyemi Han; Seo‐Jung Han; Bong Lim Suh; Kahyun Hur; Jihoon Kyhm; Jongtae Ahn; Jeong Ho Cho; Do Kyung Hwang; Eunji Lee; Changsoon Choi; Jung Ah Lim

doi:10.1002/advs.202304039

journal article·2023-09Open access

Chiroptical Synaptic Heterojunction Phototransistors Based on Self‐Assembled Nanohelix of π‐Conjugated Molecules for Direct Noise‐Reduced Detection of Circularly Polarized Light

Hanna Lee, Jun Ho Hwang, Seung Ho Song, Hyemi Han, Seo‐Jung Han, Bong Lim Suh, Kahyun Hur, Jihoon Kyhm, Jongtae Ahn, Jeong Ho Cho, Do Kyung Hwang, Eunji Lee, Changsoon Choi, Jung Ah Lim

Advanced Science· Volume 10· Issue 27

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Source abstract

Abstract

Abstract High‐performance chiroptical synaptic phototransistors are successfully demonstrated using heterojunctions composed of a self‐assembled nanohelix of a π‐conjugated molecule and a metal oxide semiconductor. To impart strong chiroptical activity to the device, a diketopyrrolopyrrole‐based π‐conjugated molecule decorated with chiral glutamic acid is newly synthesized; this molecule is capable of supramolecular self‐assembly through noncovalent intermolecular interactions. In particular, nanohelix formed by intertwinded fibers with strong and stable chiroptical activity in a solid‐film state are obtained through hydrogen‐bonding‐driven, gelation‐assisted self‐assembly. Phototransistors based on interfacial charge transfer at the heterojunction from the chiroptical nanohelix to the metal oxide semiconductor show excellent chiroptical detection with a high photocurrent dissymmetry factor of 1.97 and a high photoresponsivity of 218 A W⁻¹. The chiroptical phototransistor demonstrates photonic synapse‐like, time‐dependent photocurrent generation, along with persistent photoconductivity, which is attributed to the interfacial charge trapping. Through the advantage of synaptic functionality, a trained convolutional neural network successfully recognizes noise‐reduced circularly polarized images of handwritten alphabetic characters with better than 89.7% accuracy.

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Research context

Nanomaterials Electronic materials

OpenAlex topics: Advanced Memory and Neural Computing · Polydiacetylene-based materials and applications · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Opto‐Electronic Materials and Devices Korea Institute of Science and Technology Seoul 02792 Republic of Korea

Department of Chemical and Biomolecular Engineering Yonsei University Seoul 03722 Republic of Korea

School of Materials Science and Engineering Gwangju Institute of Science and Technology Gwangju 61005 Republic of Korea

Chemical and Biological Integrative Research Center Korea Institute of Science and Technology Seoul 02792 Republic of Korea

Division of Bio‐Medical Science and Technology KIST School University of Science and Technology of Korea Seoul 02792 Republic of Korea

Extreme Materials Research Center Korea Institute of Science and Technology Seoul 02792 Republic of Korea

Technology Support Center Korea Institute of Science and Technology Seoul 02792 Republic of Korea

KU‐KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea

Division of Nano and Information Technology KIST School University of Science and Technology Seoul 02792 Republic of Korea

Funding

National Research Foundation of Korea · Korea Institute of Science and Technology · Air Force Office of Scientific Research

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