Optoelectronic Synapse Behaviors of HfS2 Grown via Molten Salt Flux Method

Layered two-dimensional materials are promising candidates for next-generation semiconductor platforms owing to their atomically thin bodies, and it is crucial to develop a method for their large-scale synthesis for integrating these materials into the fabrication process. Here, we report the synthe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronic materials letters 2024, 20(5), , pp.559-570
Hauptverfasser: Kwon, Mi Ji, Binh, Nguyen Vu, Cho, Su-yeon, Shim, Soo Bin, Ryu, So Hyun, Jung, Yong Jae, Nam, Woo Hyun, Cho, Jung Young, Park, Jun Hong
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Layered two-dimensional materials are promising candidates for next-generation semiconductor platforms owing to their atomically thin bodies, and it is crucial to develop a method for their large-scale synthesis for integrating these materials into the fabrication process. Here, we report the synthesis of a centimeter-scale HfS 2 ingot using the molten salt flux method (MSFM). The structure, crystallinity, and uniformity of the synthesized HfS 2 sample were verified using X-ray diffraction and Raman spectroscopy. The chemical properties were investigated using X-ray photoelectron spectroscopy. A HfS 2 synaptic field effect transistor (FET) was fabricated to confirm its electrical uniformity and semiconducting nature, with an average mobility of 10.6 cm 2 V -1 s -1 . The synaptic plasticity of the HfS 2 synaptic FET was investigated by applying light pulses (405 nm) in different modulation configurations. Paired-pulse facilitation was achieved by applying a continuous light pulse with a negative gate bias voltage. The modulation of synaptic weight was demonstrated under different stimulation conditions, which emulates the human brain. Furthermore, the linearity of the HfS 2 synaptic device was optimized based on the frequency of the pulses to enhance learning accuracy. The approach reported here encourages the large-scaled production of transition metal dichalcogenides (TMDs) for use in artificial synaptic transistors. Graphical Abstract
ISSN:1738-8090
2093-6788
DOI:10.1007/s13391-024-00494-z