Daixin Chen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
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Biography and Research Information
OverviewAI-generated summary
Daixin Chen's research focuses on the development and analysis of semiconductor devices, particularly those utilizing Silicon Carbide (SiC) technology. His work includes the design and evaluation of bidirectional solid-state circuit breakers for DC microgrids, exploring their performance compared to traditional MOSFETs and JBSFETs. Chen has investigated the switching dynamics and modeling of SiC bidirectional field-effect transistors, contributing to the understanding of these advanced materials. His publications also touch upon machine learning applications, including lightweight attention-oriented networks for salient object detection and networks for 3D point cloud denoising, alongside methods for rapid shape reconstruction based on focal plane detection technology. Chen collaborates with researchers at the University of Arkansas at Fayetteville, including Yannal Nawafleh and Yue Zhao.
Metrics
- h-index: 2
- Publications: 13
- Citations: 8
Selected Publications
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A High-Efficiency Bidirectional Solid-State Circuit Breaker Using Half-Bridge SiC MOSFET Modules for DC Grid Protection (2025)
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Analysis and Modeling of Switching Dynamics in SiC Bidirectional Field-Effect Transistors (2025)
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A Low-Loss Multipart Solid State Circuit Breaker Utilizing Bidirectional Common-Source SiC MOSFETs (2025)
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Comparative Analysis Between Monolithically Integrated 1.2 kV Bi-Directional MOSFETs and Bi-Directional JBSFETs (2025)
Collaboration Network
Top Collaborators
- MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising
- LRNet: lightweight attention-oriented residual fusion network for light field salient object detection
- Application of auto-focus technique in accurate 3D detection of aircraft surface
- M2AttR2U-net: Networks with Multiple Inputs and Multi-layer Supervision for the Bridge Cracks
- Effective method of eliminating scan error in structured light measurement
Showing 5 of 8 shared publications
- MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising
- M2AttR2U-net: Networks with Multiple Inputs and Multi-layer Supervision for the Bridge Cracks
- Effective method of eliminating scan error in structured light measurement
- High-precision 3D measurement method based on optical projection technology
- Effective method of eliminating scan error in structured light measurement
- Measurement method for multilayer film thickness based on wide spectral interference
- High-precision 3D measurement method based on optical projection technology
- Comparative Analysis Between Monolithically Integrated 1.2 kV Bi-Directional MOSFETs and Bi-Directional JBSFETs
- A Low-Loss Multipart Solid State Circuit Breaker Utilizing Bidirectional Common-Source SiC MOSFETs
- Analysis and Modeling of Switching Dynamics in SiC Bidirectional Field-Effect Transistors
- A Low-Loss Multipart Solid State Circuit Breaker Utilizing Bidirectional Common-Source SiC MOSFETs
- Analysis and Modeling of Switching Dynamics in SiC Bidirectional Field-Effect Transistors
- A High-Efficiency Bidirectional Solid-State Circuit Breaker Using Half-Bridge SiC MOSFET Modules for DC Grid Protection
- Effective method of eliminating scan error in structured light measurement
- High-precision 3D measurement method based on optical projection technology
- Comparative Analysis Between Monolithically Integrated 1.2 kV Bi-Directional MOSFETs and Bi-Directional JBSFETs
- Analysis and Modeling of Switching Dynamics in SiC Bidirectional Field-Effect Transistors
- Comparative Analysis Between Monolithically Integrated 1.2 kV Bi-Directional MOSFETs and Bi-Directional JBSFETs
- Analysis and Modeling of Switching Dynamics in SiC Bidirectional Field-Effect Transistors
- MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising
- MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising
- Application of auto-focus technique in accurate 3D detection of aircraft surface
- Application of auto-focus technique in accurate 3D detection of aircraft surface
- Application of auto-focus technique in accurate 3D detection of aircraft surface
- M2AttR2U-net: Networks with Multiple Inputs and Multi-layer Supervision for the Bridge Cracks
- Measurement method for multilayer film thickness based on wide spectral interference
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