Rapid 3D Defect Mapping in SiC Betavoltaics via Positron Annihilation Tomograph

Defect‐mediated recombination losses are a fundamental bottleneck for betavoltaic energy converters. Here, we introduce a rapid, nondestructive correlative approach combining positron annihilation spectroscopy (PAS) and positron emission tomography (PET) to map and quantify vacancy‐type defects and stacking faults in 3C‐ and 4H‐SiC/Si heterostructures. We demonstrate the efficacy of this approach by rapidly optimizing a thermal annealing protocol (500C, 30 min), which reduces defect density by >50% and enhances the open‐circuit voltage and short‐circuit current density of betavoltaic cells by 20% and 24%, respectively. This integrated PAS/PET methodology presents a powerful tool for the accelerated screening of materials and defect engineering in semiconductor devices and provides a foundational characterization framework for the emerging class of radioisotope‐doped semiconductors, directly addressing the self‐absorption and defect‐mediated recombination losses that currently limit the efficiency of 3C‐, 4H‐SiC:C/Si betavoltaic power sources.

Authors

Institutions

Publication Details

Journal
physica status solidi (RRL) - Rapid Research Letters
Published
2025-11-12
DOI
https://doi.org/10.1002/pssr.202500356
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

Rapid 3D Defect Mapping in SiC Betavoltaics via Positron Annihilation Tomograph

Б.Г. Атабаев, N.Yu. Arutyunov, S. A. Radzhapov, M. V. Dolgopolov et al.
1 citations
physica status solidi (RRL) - Rapid Research Letters
Advanced Energy Technologies and Civil Engineering Innovations
3.84
article

Rapid 3D Defect Mapping in SiC Betavoltaics via Positron Annihilation Tomograph

Б.Г. Атабаев, N.Yu. Arutyunov, S. A. Radzhapov, M. V. Dolgopolov, Kh. N. Juraev, V. I. Chepurnov
article en
1 citations

Abstract

Defect‐mediated recombination losses are a fundamental bottleneck for betavoltaic energy converters. Here, we introduce a rapid, nondestructive correlative approach combining positron annihilation spectroscopy (PAS) and positron emission tomography (PET) to map and quantify vacancy‐type defects and stacking faults in 3C‐ and 4H‐SiC/Si heterostructures. We demonstrate the efficacy of this approach by rapidly optimizing a thermal annealing protocol (500C, 30 min), which reduces defect density by >50% and enhances the open‐circuit voltage and short‐circuit current density of betavoltaic cells by 20% and 24%, respectively. This integrated PAS/PET methodology presents a powerful tool for the accelerated screening of materials and defect engineering in semiconductor devices and provides a foundational characterization framework for the emerging class of radioisotope‐doped semiconductors, directly addressing the self‐absorption and defect‐mediated recombination losses that currently limit the efficiency of 3C‐, 4H‐SiC:C/Si betavoltaic power sources.

physica status solidi (RRL) - Rapid Research LettersVol. 20(1)
Academy of Sciences Republic of Uzbekistan (UZ), Samara State Technical University (RU), Samara National Research University (RU), Institute of Ion Plasma Laser Technologies (UZ)
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.

Rapid 3D Defect Mapping in SiC Betavoltaics via Positron Annihilation Tomograph — Б.Г. Атабаев, N.Yu. Arutyunov, et al. · physica status solidi (RRL) - Rapid Research Letters (2025) | TGRS Research Map | TGRS