The progression of SiC MOSFET technology from planar to trench structures requires optimized gate oxide layers within the trench to enhance device performance. In this study, we investigated the interface characteristics of HfO and SiO/HfO gate dielectrics grown by atomic layer deposition (ALD) on SiC trench structures. The trench structure morphology was revealed using scanning electron microscopy (SEM). Atomic force microscopy (AFM) measurements showed that the roughness of both films was below 1nm. Spectroscopic ellipsometry (SE) indicated that the physical thicknesses of HfO and SiO/HfO were 38.275 nm and 40.51 nm, respectively, demonstrating their comparable thicknesses. X-ray photoelectron spectroscopy (XPS) analysis of the gate dielectrics revealed almost identical Hf 4f core levels for both HfO and the SiO/HfO composite dielectrics, suggesting that the SiO interlayer and the SiC substrate had minimal impact on the electronic structure of the HfO film. The breakdown electric field of the HfO film was recorded as 4.1 MV/cm, with a leakage current at breakdown of 1.1 × 10A/cm. The SiO/HfO stacked film exhibited significantly better performance, with a breakdown electric field of 6.5 MV/cm and a marked reduction in leakage current to 3.7 × 10 A/cm. A detailed extraction and analysis of the leakage current mechanisms were proposed, and the data suggested that the introduction of thin SiO interfacial layers effectively mitigated small bandgap offset issues, significantly reducing leakage current and improving device performance.
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http://dx.doi.org/10.3390/nano15050343 | DOI Listing |
Nanomaterials (Basel)
February 2025
Institute of Wide Bandgap Semiconductors and Future Lighting, Academy for Engineering & Technology, Fudan University, Shanghai 200433, China.
The progression of SiC MOSFET technology from planar to trench structures requires optimized gate oxide layers within the trench to enhance device performance. In this study, we investigated the interface characteristics of HfO and SiO/HfO gate dielectrics grown by atomic layer deposition (ALD) on SiC trench structures. The trench structure morphology was revealed using scanning electron microscopy (SEM).
View Article and Find Full Text PDFACS Nano
March 2025
School of Electronic Science and Engineering, Nanjing University, 210023 Nanjing, China.
Memristors have garnered increasing attention in neuromorphic computing hardware due to their resistive switching characteristics. However, achieving uniformity across devices and further miniaturization for large-scale arrays remain critical challenges. In this study, we demonstrate the scalable production of highly uniform, quasi-one-dimensional diffusive memristors based on heavily doped n-type silicon nanowires (SiNWs) with diameters as small as ∼50 nm, fabricated via in-plane solid-liquid-solid (IPSLS) growth technology.
View Article and Find Full Text PDFWorld J Gastrointest Surg
February 2025
Department of Clinical Laboratory, Western Theater Command Air Force Hospital, Chengdu 610000, Sichuan Province, China.
Background: Gastric cancer is the most common malignancy of the digestive system and surgical resection is the primary treatment. Advances in surgical technology have reduced the risk of complications after radical gastrectomy; however, post-surgical pancreatic fistula remain a serious issue. These fistulas can lead to abdominal infections, anastomotic leakage, increased costs, and pain; thus, early diagnosis and prevention are crucial for a better prognosis.
View Article and Find Full Text PDFSpinal cord injury (SCI) initiates a complex cascade of chemical and biophysical phenomena that result in tissue swelling, progressive neural degeneration, and formation of a fluid-filled cavity. Previous studies show fluid pressure above the spinal cord (supraspinal) is elevated for at least 3 days after injury and contributes to a phase of damage called secondary injury. Currently, it is unknown how fluid forces within the spinal cord itself (interstitial) are affected by SCI and if they contribute to secondary injury.
View Article and Find Full Text PDFNeural signals encode information through oscillatory and transient components. The transient component captures rapid, non-rhythmic changes in response to internal or external events, while the oscillatory component reflects rhythmic patterns critical for processing sensation, action, and cognition. Current spectral and time-domain methods often struggle to distinguish the two components, particularly under sharp transitions, leading to interference and spectral leakage.
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