Investigation and calculation of electrical performance of lead-free AgBiI4 perovskite based Schottky photodiode using machine learning

Abstract Lead-free nanoparticles gain importance due to their environmentally clean and reliable production processes in optoelectronics. In this study, we synthesized AgBiI 4 lead-free perovskite material and used it as an interlayer to obtain a Schottky photodiode structure. Optical, morphological, and structural properties were investigated via UV–Vis, SEM, SEM–EDS, AFM, and XRD. The crystal structure was confirmed by X-ray diffraction (XRD) results. The results obtained from the UV–Visible spectrophotometer clearly showed the peaks of the crystal structure at 566.94 nm. The band gap calculated from UV–Vis results was 1.91 eV for AgBiI 4 perovskite crystals. We used AgBiI 4 structures as interlayers between n-type Si and Al to obtain a photodiode heterostructure and investigate their structural sensing performance using current–voltage and current-transient measurements. Ideality factor and barrier height values were calculated using machine learning. Lead-free perovskite structures recorded excellent photodetector properties, reaching 2.636 A/W responsivity and 1.30 × 10 11 Jones detectivity.

Authors

Institutions

Publication Details

Journal
Journal of Materials Science Materials in Electronics
Published
2025-04-01
DOI
https://doi.org/10.1007/s10854-025-14728-9
Citations
3
Primary Topic
Semiconductor materials and interfaces
Type
article
Field-Weighted Citation Impact
3.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation and calculation of electrical performance of lead-free AgBiI4 perovskite based Schottky photodiode using machine learning

Ahmet Toprak, Ali Akbar Hussaini, Mahmut Kuş, Murat Yıldırım et al.
3 citations
Journal of Materials Science Materials in Electronics
Semiconductor materials and interfaces
3.74
article

Investigation and calculation of electrical performance of lead-free AgBiI4 perovskite based Schottky photodiode using machine learning

Ahmet Toprak, Ali Akbar Hussaini, Mahmut Kuş, Murat Yıldırım, Emre Ünver
article en
3 citations

Abstract

Abstract Lead-free nanoparticles gain importance due to their environmentally clean and reliable production processes in optoelectronics. In this study, we synthesized AgBiI 4 lead-free perovskite material and used it as an interlayer to obtain a Schottky photodiode structure. Optical, morphological, and structural properties were investigated via UV–Vis, SEM, SEM–EDS, AFM, and XRD. The crystal structure was confirmed by X-ray diffraction (XRD) results. The results obtained from the UV–Visible spectrophotometer clearly showed the peaks of the crystal structure at 566.94 nm. The band gap calculated from UV–Vis results was 1.91 eV for AgBiI 4 perovskite crystals. We used AgBiI 4 structures as interlayers between n-type Si and Al to obtain a photodiode heterostructure and investigate their structural sensing performance using current–voltage and current-transient measurements. Ideality factor and barrier height values were calculated using machine learning. Lead-free perovskite structures recorded excellent photodetector properties, reaching 2.636 A/W responsivity and 1.30 × 10 11 Jones detectivity.

Journal of Materials Science Materials in ElectronicsVol. 36(11)
Selçuk University (TR), Konya Technical University (TR)
Konya Teknik Üniversitesi, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 8%
Semiconductor materials and interfaces
3.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.