Structural Optimization and Trap Effects on the Output Performance of 4H-SiC Betavoltaic Cell

In this study, structural optimization and trap effect analysis of a 4H-SiC-based p-i-n betavoltaic (BV) cell were performed using Silvaco ATLAS TCAD (version 5.30.0.R) simulations combined with an electron-beam (e-beam) irradiation model. First, the optimum device structure was derived by varying the thickness of the intrinsic layer (i-layer), the thickness of the p-layer, and the doping concentration of the i-layer. Under 17 keV e-beam irradiation, the electron-hole pairs generated in the i-layer were effectively separated and transported by the internal electric field, thereby contributing to the short-circuit current density (J<sub>SC</sub>), open-circuit voltage (V<sub>OC</sub>), and maximum output power density (P<sub>out_max</sub>). Subsequently, to investigate the effects of traps, donor- and acceptor-like traps were introduced either individually or simultaneously, and their densities were varied to evaluate the changes in device performance. The simulation results revealed that traps degraded the performance through charge capture and recombination, with acceptor-like traps exhibiting the most pronounced impact. In particular, acceptor-like traps in the i-layer significantly reduced V<sub>OC</sub> from 2.47 V to 2.07 V and P<sub>out_max</sub> from 3.08 μW/cm<sup>2</sup> to 2.28 μW/cm<sup>2</sup>, demonstrating that the i-layer is the most sensitive region to performance degradation. These findings indicate that effective control of trap states within the i-layer is a critical factor for realizing high-efficiency and high-reliability SiC-based betavoltaic cells.

Authors

Institutions

Publication Details

Journal
Nanomaterials
Published
2025-10-24
DOI
https://doi.org/10.3390/nano15211625
Citations
1
Primary Topic
Advanced Energy Technologies and Civil Engineering Innovations
Type
article
Field-Weighted Citation Impact
3.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Optimization and Trap Effects on the Output Performance of 4H-SiC Betavoltaic Cell

In Man Kang, Jae Hwa Seo, Young Jun Yoon, Kyeong Min Kim
1 citations
Nanomaterials
Advanced Energy Technologies and Civil Engineering Innovations
3.84
article

Structural Optimization and Trap Effects on the Output Performance of 4H-SiC Betavoltaic Cell

In Man Kang, Jae Hwa Seo, Young Jun Yoon, Kyeong Min Kim
article en
1 citations

Abstract

In this study, structural optimization and trap effect analysis of a 4H-SiC-based p-i-n betavoltaic (BV) cell were performed using Silvaco ATLAS TCAD (version 5.30.0.R) simulations combined with an electron-beam (e-beam) irradiation model. First, the optimum device structure was derived by varying the thickness of the intrinsic layer (i-layer), the thickness of the p-layer, and the doping concentration of the i-layer. Under 17 keV e-beam irradiation, the electron-hole pairs generated in the i-layer were effectively separated and transported by the internal electric field, thereby contributing to the short-circuit current density (J<sub>SC</sub>), open-circuit voltage (V<sub>OC</sub>), and maximum output power density (P<sub>out_max</sub>). Subsequently, to investigate the effects of traps, donor- and acceptor-like traps were introduced either individually or simultaneously, and their densities were varied to evaluate the changes in device performance. The simulation results revealed that traps degraded the performance through charge capture and recombination, with acceptor-like traps exhibiting the most pronounced impact. In particular, acceptor-like traps in the i-layer significantly reduced V<sub>OC</sub> from 2.47 V to 2.07 V and P<sub>out_max</sub> from 3.08 μW/cm<sup>2</sup> to 2.28 μW/cm<sup>2</sup>, demonstrating that the i-layer is the most sensitive region to performance degradation. These findings indicate that effective control of trap states within the i-layer is a critical factor for realizing high-efficiency and high-reliability SiC-based betavoltaic cells.

NanomaterialsVol. 15(21)
Gyeongguk National University (KR), Korea Electrotechnology Research Institute (KR), Soonchunhyang University (KR), Kyungpook National University (KR)
Openalex Percentile: Top 6%
Advanced Energy Technologies and Civil Engineering Innovations
3.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Structural Optimization and Trap Effects on the Output Performance of 4H-SiC Betavoltaic Cell — In Man Kang, Jae Hwa Seo, et al. · Nanomaterials (2025) | TGRS Research Map | TGRS