The Impact of Microwave Annealing on MoS 2 Devices Assisted by Neural Network-Based Big Data Analysis
Microwave annealing, an emerging annealing method known for its efficiency and low thermal budget, has established a foundational research base in the annealing of molybdenum disulfide (MoS ) devices. Typically, to obtain high-quality MoS devices, mechanical exfoliation is commonly employed. This me...
Gespeichert in:
Veröffentlicht in: | Materials 2024-07, Vol.17 (13) |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Microwave annealing, an emerging annealing method known for its efficiency and low thermal budget, has established a foundational research base in the annealing of molybdenum disulfide (MoS
) devices. Typically, to obtain high-quality MoS
devices, mechanical exfoliation is commonly employed. This method's challenge lies in achieving uniform film thickness, which limits the use of extensive data for studying the effects of microwave annealing on the MoS
devices. In this experiment, we utilized a neural network approach based on the HSV (hue, saturation, value) color space to assist in distinguishing film thickness for the fabrication of numerous MoS
devices with enhanced uniformity and consistency. This method allowed us to precisely assess the impact of microwave annealing on device performance. We discovered a relationship between the device's electrical performance and the annealing power. By analyzing the statistical data of these electrical parameters, we identified the optimal annealing power for MoS
devices as 700 W, providing insights and guidance for the microwave annealing process of two-dimensional materials. |
---|---|
ISSN: | 1996-1944 1996-1944 |