Impact Ionization Coefficient Prediction of a Lateral Power Device Using Deep Neural Network.

Nowadays, the impact ionization coefficient in the avalanche breakdown theory is obtained using 1-D PN junctions or SBDs, and is considered to be a constant determined by the material itself only. In this paper, the impact ionization coefficient of silicon in a 2D lateral power device is found to be no longer a constant, but instead a function of the 2D coupling effects. The impact ionization coefficient of silicon that considers the 2D depletion effects in real-world devices is proposed and extracted in this paper.

Off-State Performance Characterization of an AlGaN/GaN Device via Artificial Neural Networks.

Due to the complexity of the 2D coupling effects in AlGaN/GaN HEMTs, the characterization of a device’s off-state performance remains the main obstacle to exploring the device’s breakdown characteristics. To predict the off-state performance of AlGaN/GaN HEMTs with efficiency and veracity, an artificial neural network-based methodology is proposed in this paper. Given the structure parameters, the off-state current−voltage (I−V) curve can therefore be obtained along with the essential performance index, such as breakdown voltage (BV) and saturation leakage current, without any physics domain requirement.

Extraction of Interface-Trap Densities of the Stacked Bonding Structure in 3D Integration Using High-Frequency Capacitance-Voltage Technique.

An extraction method of the interface-trap densities () of the stacked bonding structure in 3D integration using high-frequency capacitance-voltage technique is proposed. First, an accurate high-frequency capacitance-voltage model is derived. Next, by numerically solving the charge-balance equation and charge conservation equation, is extracted by fitting the measured and calculated capacitance-voltage curves based on the derived model.

Prediction of Static Characteristic Parameters of an Insulated Gate Bipolar Transistor Using Artificial Neural Network.

Breakdown voltage (), on-state voltage (), static latch-up voltage (), static latch-up current density (), and threshold voltage (), etc., are critical static characteristic parameters of an IGBT for researchers. and can characterize the conduction capability of the device, while , , and can help designers analyze the safe operating area (SOA) of the device and its reliability.

A Novel Step-Doped Channel AlGaN/GaN HEMTs with Improved Breakdown Performance.

The AlGaN/GaN high electron mobility transistor with a step-doped channel (SDC-HEMT) is first proposed in this paper. The potential distribution and the electric field (E-field) distribution of the device are explored by the numerical approach and analytical approach simultaneously. By introducing extra dopants to the channel layer, the E-field distribution along the AlGaN/GaN heterojunction interface is reshaped, resulting in an improved breakdown characteristic.

Simulation Study of the Double-Gate Tunnel Field-Effect Transistor with Step Channel Thickness.

Double-gate tunnel field-effect transistor (DG TFET) is expected to extend the limitations of leakage current and subthreshold slope. However, it also suffers from the ambipolar behavior with the symmetrical source/drain architecture. To overcome the ambipolar current, asymmetry must be introduced between the source and drain.

Prognostic factors in adult granulosa cell tumor of the ovary.

Objective: To determine the clinicopathologic prognostic factors in adult granulosa cell tumors (GCTs) of the ovary.

Methods: This retrospective study was carried out over a period of 10 years (1995-2005) in the Gynecology Department of Shengjing Hospital, China Medical University, Shenyang, China. Forty-six patients with GCT were enrolled in this study.

Biphasic effects of orexin-A on autonomic nerve activity and lipolysis.

Previously, we showed that orexin-A, a 33-aa peptide, influences renal sympathetic nerve activity. Because the autonomic nervous system plays an important role in the regulation of lipid metabolism, we investigated the in vivo effects of orexin-A on the sympathetic nerve activity innervating white adipose tissue (WAT-SNA) and lipolysis. We found that intracerebroventricular (icv) administration of orexin-A at doses of 1 microg/rat and 10 ng/rat elevated and suppressed WAT-SNA, respectively.

Regulation of sympathetic nerve activity by L-carnosine in mammalian white adipose tissue.

Previously, we showed that l-carnosine, a bioactive dipeptide, influences the sympathetic nerve activity innervating kidney and brown adipose tissue. Because the autonomic nervous system plays an important role in the regulation of lipid metabolism, we investigated the in vivo effects of L-carnosine on the sympathetic nerve activity innervating white adipose tissue (SNA-WAT) and lipolysis. We found that intraperitoneal (ip) administration of L-carnosine at doses of 100 ng/rat and 10 microg/rat elevated and suppressed SNA-WAT, respectively.

[Research development of catalytic-kinetic spectrophotometric determination of trace manganese].

A review of recent research progresses in the determination of trace amount of manganese with catalytic-kinetic spectrophotometric method is presented and discussed in the present paper. Firstly, by comparison it is showed that catalytic-kinetic spectrophotometry has more advantages than atomic absorption spectrophotometry and extraction-spectrophotometry for the determination of trace amounts of manganese. The review and discussion of the recent research developments in the catalytic discoloring spectrophotometry and catalytic coloring spectrophotometry for the determination of trace amounts of manganese are given respectively.

Expression of midkine in benign, premalignant and malignant vulvar tumors.

Objective: To clarify the role of midkine (MK) in vulvar carcinogenesis though examination of its expression in vulvar lesions including vulvar condyloma acuminata (VCA), vulvar intraepithelial neoplasia (VIN) and vulvar squamous cell carcinomas (VSCC), and to analyze the relationship between MK expression and human papilloma virus (HPV) infection.

Methods: Thirty VSCC, 15 VIN and 10 VCA patients were studied by streptavidin-biotin-immunoperoxidase method. MK expression was compared with clinicopathologic features of vulvar tumors.