Investigation on Transient Failure Mode of Asymmetric Trench Gate SiC MOSFET Under Single-Pulse Avalanche Stress

In this article, the avalanche withstand capability and transient failure model of commercial 1200 V asymmetric trench gate SiC MOSFETs are investigated by experiment and simulation under single-pulse unclamped inductive switching (UIS) conditions. The limiting avalanche current and limiting avalanche energy of the device are determined by...

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...

Study on Reverse Recovery of a P-pillar Tunable Super-Junction MOSFET*

In this paper, a novel bubble-shift super junction (SJ) MOSFET structure is proposed, and its main static electrical parameters and reverse recovery characteristics are simulated by TCAD software tool. By designing the P-pillar ion implantation windows with a certain offset, the bubble-shift SJ-MOSFET contains a curved pillar region in the upper...

A TCAD Simulation Study on the Short-circuit Performance of 650V P-pillar Offset Super-junction MOSFET

The limitation of Silicon based power MOSFET was broken by the super-junction (SJ) structure, which can provide lower specific on-resistance and higher breakdown voltage compared with the conventional power MOSFET structure. Multi-epitaxial and multi-ion-implant technology, as a mature manufacturing process of the SJ structure, has been widely...

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

A reliable multi-agent decision-making system is highly demanded for safe and efficient operations of connected and autonomous vehicles (CAVs). In order to represent the mutual effects between vehicles and model the dynamic traffic environments, this research proposes an integrated and open-source framework to realize different Graph...

Progress in multiscale computational electromagnetics in time domain

Many system-level electromagnetic design problems are multiscale and very challenging to solve. They remain a significant barrier to system design optimization for a foreseeable future. Such multiscale problems often contain three electrical scales, i.e., the fine scale (geometrical feature size much smaller than a wavelength), the coarse scale ...