Temperature (T = 40 ~ 300 K) dependence of Hall-effect analysis on the dual Si-δ-doped AlGaAs/InGaAs/AlGaAs quantum-well (QW) structures with various space layer thicknesses (t = 5, 10 and 15 nm) was performed. An interesting hysteresis behavior of electron sheet concentration [n(T)] was observed for t = 10 and 15 nm but not for t = 5 nm. A model involving two different activation barriers encountered respectively by electrons in the active QW and by electrons in the δ-doped layers is proposed to account for the hysteresis behavior. However, for small enough t (= 5 nm ≤ 2.5 s, where s = 2.0 nm is the standard deviation of the Gaussian fit to the Si-δ-doped profile), the distribution of Si dopants near active QW acted as a specific form of "modulation doping" and can not be regarded as an ideal δ-doping. These Si dopants nearby the active QW effectively increase the magnitude of n, and hence no hysteresis curve was observed. Finally, effects from t on the T-dependence of electron mobility in active QW channel are also discussed.
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http://dx.doi.org/10.1038/s41598-020-69153-1 | DOI Listing |
Nanotechnology
January 2025
Radiophysics, Tomsk State University, Lenin, 36, Tomsk, Tomsk region, 634050, RUSSIAN FEDERATION.
Structural and photoelectric properties of p-i-n photodiodes based on GeSiSn/Si multiple quantum dots both on Si and silicon-on-insulator (SOI) substrates were investigated. Elastic strained state of grown films was demonstrated by x-ray diffractometry. Annealing of p-i-n structures before the mesa fabrication can improve the ideality factor of current-voltage characteristics.
View Article and Find Full Text PDFJ Mol Model
January 2025
College of Electronics and Information, Xi'an Polytechnic University, Xian, People's Republic of China.
Context: The two-dimensional graphene/MoTe heterostructure holds extensive potential applications in optoelectronic devices, sensors, and catalysts. To expand its optical applications, this study systematically investigates the adsorption stability of metal atoms (Au, Pt, Pd, and Fe) on the graphene/MoTe and their influence on its optoelectronic properties employing first-principles methods. The findings indicate that after the adsorption of Au and Pd, the structure retains its direct bandgap properties, while the adsorption of Pt and Fe exhibits indirect bandgap characteristics.
View Article and Find Full Text PDFACS Nano
January 2025
State Key Laboratory of Integrated Chips and Systems, Frontier Institute of Chip and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
The exponential growth of the Internet of Things (IoTs) has led to the widespread deployment of millions of sensors, crucial for the sensing layer's perception capabilities. In particular, there is a strong interest in intelligent photonic sensing. However, the current photonic sensing device and chip typically offer limited functionality, and the devices providing their power take up excessive amounts of space.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CD, Delft, The Netherlands.
Laboratory experiments were performed to investigate the attenuation of progressive deep-water waves by a mono-layer of loose- and close-packed floating spheres. We measured the decay distance of waves having different incident wave frequency and steepness. The attenuation of waves was strong if the surface concentration of particles was close-packed, with the decay distance being shorter for incident waves with higher frequency and steepness.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Architecture and Urban Planning, Shenzhen University, Guangdong, China. Electronic address:
Amid rapid urbanization, land use shifts in cities globally have profound effects on ecosystems and biodiversity. Birds, as a crucial component of urban biodiversity, are highly sensitive to environmental changes and often serve as indicator species for biodiversity. This study, using Shenzhen as a case study, integrates machine learning techniques with spatial statistical methods.
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