ABSTRACT
Atomic force microscopy (AFM) enables direct visualisation of surface topography at the nanoscale. However, post-processing is generally required to obtain accurate, precise, and reliable AFM images owing to the presence of image artefacts. In this study, we compared and analysed state-of-the-art deep learning models, namely MPRNet, HINet, Uformer, and Restormer, with respect to denoising AFM images containing four types of noise. Specifically, these algorithms' denoising performance and inference time on AFM images were compared with those of conventional methods and previous studies. Through a comparative analysis, we found that the most efficient and the most effective models were Restormer and HINet, respectively. The code, models, and data used in this work are available at https://github.com/hoichanjung/AFM_Image_Denoising.
Subject(s)
Deep Learning , Image Processing, Computer-Assisted , Signal-To-Noise Ratio , Image Processing, Computer-Assisted/methods , Microscopy, Atomic Force/methods , AlgorithmsABSTRACT
In this study, two blue fluorescence materials using phenylanthracene-substituted fluorene derivatives were synthesized and characterized for organic light-emitting diodes (OLEDs). To study their electroluminescent properties, OLED devices were fabricated using these two materials as emissive layer (EML). A device using 7,7-diphenyl-9-(10-phenylanthracen-9-yl)-7H-benzo[b]fluoreno[3,4-d]thiophene in emitting layer showed the highest value of EQE value which is 3.51%. It also showed the luminance efficiency of 3.22 cd/A and power efficiency of 2.89 lm/W with the CIE coordinates (0.15, 0.09).
ABSTRACT
Highly efficient blue fluorescent 7,7-dimethyl-9-(10-phenylanthracen-9-yl)-7H-benzo[6,7]indeno[1,2- f]quinoline derivatives, based on benzo-indeno-quinoline and phenylanthracene were designed and synthesized. To test their electroluminescent properties, organic light-emitting diodes (OLEDs) were fabricated with the configuration of indium-tin-oxide (ITO) (150 nm)/4,4',4â³-Tris[2- naphthyl(phenyl)amino]triphenylamine (2-TNATA) (30 nm)/N,N'-di(1-naphthyl)-N,N'-diphenyl-1,1'- biphenyl)4,4'-diamine (NPB) (20 nm)/blue emitting materials (20 nm)/bathophenanthroline (Bphen) (30 nm)/Liq (2 nm)/Al (100 nm). The devices using these blue materials as emitters showed efficient blue emission. Particularly, a device employing 7,7-dimethyl-9-(10-phenylanthracen-9-yl)-7Hbenzo[ 6,7]indeno[1,2-f]quinoline as an emitting layer yielded the best performance with a luminous efficiency (LE), power efficiency (PE), and external quantum efficiency (EQE) and the Commission International de L'Eclairge (CIE) coordinates of 4.60 cd/A, 3.07 lm/W, 4.32% at 20 mA/cm², and (0.16, 0.12) at 8.0 V, respectively.
