Publications by authors named "Beomjun Park"

Article Synopsis
  • CdZnTe (CZT) is an effective semiconductor detector for gamma rays, but its properties can be enhanced with the addition of selenium, forming CdZnTeSe (CZTS), which leads to better crystal quality.
  • The study introduces increased zinc content in CZTS to counteract the bandgap reduction caused by selenium while retaining its improved attributes.
  • Various techniques like scanning electron microscopy, I-V curve measurements, and gamma-spectroscopy were used to analyze CZTS, showing that higher zinc levels can maintain superior performance even with a reduced bandgap.
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In this study, we perform bone mineral density (BMD) calculation by designing a layered sensor module (LSM) that divides high- and low-energy spectra from a single shot of X-rays. Gamma-ray evaluation supports this mechanism; low-energy gamma rays are absorbed in the front detector, whereas high-energy gamma rays are absorbed in the rear detector. In this phantom study, LSM divides a single shot of X-ray into two spectra with different distributions of energy, thereby affording X-ray images with different properties, such as contrast and gray scale.

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Perovskite single crystals are actively studied as X-ray detection materials with enhanced sensitivity. Moreover, the feasibility of using perovskites for self-powered devices such as photodetectors, UV detectors, and X-ray detectors can significantly expand their application range. In this work, the charge carrier transport and photocurrent properties of MAPbBr single crystals (MSCs) are improved by the mechanochemical surface treatment using glycerin combined with an additional electrode design that forms an ohmic contact.

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Biomedical databases grow by more than a thousand new publications every day. The large volume of biomedical literature that is being published at an unprecedented rate hinders the discovery of relevant knowledge from keywords of interest to gather new insights and form hypotheses. A text-mining tool, PubTator, helps to automatically annotate bioentities, such as species, chemicals, genes, and diseases, from PubMed abstracts and full-text articles.

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