A new superjunction LDMOS on silicon-on-insulator (SOI) with a nondepletion compensation layer (NDCL) is proposed. The NDCL can be self-adaptive to provide additional charges for compensating the charge imbalance while eliminating the substrate-assisted depletion effect. In addition, the highdensity oxide interface charges at the top surface of the buried oxide layer (BOX) enhance the electric field in the BOX and improve the vertical breakdown voltage (BV). Numerical simulation results indicate that a uniform surface electric field profile is obtained and that the vertical electric field in BOX is increased to 6 × 10 6 V/cm, which results in a high BV of 300 V for the proposed device with the BOX thickness of 0.5 μm and drift length of 15 μm on a thin SOI substrate.
In the present study, g-C 3 N 4 with various morphologies was successfully synthesized via a variety of facile in situ methods. The as-prepared products were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Raman spectroscopy and X-ray diffraction (XRD). The results obtained using square wave anodic stripping voltammetry (SWASV) showed that when g-C 3 N 4 was applied as an electrochemical sensor, it exhibited excellent sensitivity and selectivity for the detection of heavy metal ions including Pb(II), Cu(II) and Hg(II). Compared to nanoporous graphitic carbon nitride (npg-C 3 N 4 ) and g-C 3 N 4 nanosheet-modified glass carbon electrode (GCE), g-C 3 N 4 successfully realized the individual and simultaneous detection of four target heavy ions for the first time. In particular, g-C 3 N 4 displayed significant electrocatalytic activity towards Hg(II) with a good sensitivity of 18.180 mA mM À1 and 35.923 mA mM À1 under the individual and simultaneous determination conditions, respectively.The sensitivity for simultaneous determination was almost 2 times that of the individual determination.Moreover, the fabricated electrochemical sensor showed good anti-interference, stability and repeatability; this indicated significant potential of the proposed materials for application in highperformance electrochemical sensors for the individual and simultaneous detection of heavy metal ions.
The main cause of dynamic errors is the sensor's frequency response limitation. One way of solving this problem is designing an ejfective inverse filter. Since the problem is ill-conditioned, a small uncertainty in the measurement will cause large deviation in reconstructed signals. The amplified noise has to be suppressed at the sacrifice of biasing in estimation. Based on stabilized solutions ofFredholm integral equations of the first kind, the paper presents a group of inverse filters from which correcting dynamic characteristics of measurement systems can be selected or optimized to reduce dynamic errors. Compared with previous work, the method has advantage ofgeneralization. So, it is moreflexible in designing inversefilters.
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