Publications by authors named "Zhenyu Bu"

Article Synopsis
  • Researchers face challenges in determining the crystal structure of γ-AlO due to atomic disorder and purity issues, but this study employs machine learning and density functional theory (DFT) to advance the understanding.
  • A potential supercell structure was identified and confirmed through advanced microscopy techniques, revealing that γ-AlO deviates from a typical spinel structure, with octahedral vacancies playing a role in energy reduction.
  • Under an external electric field, significant changes in the material's band structure result in a narrowing bandgap and increased metallic behavior, which helps explain variations in electrical conductivity and provides insights into the dielectric breakdown of insulating materials.
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Automated segmentation of liver tumors in CT scans is pivotal for diagnosing and treating liver cancer, offering a valuable alternative to labor-intensive manual processes and ensuring the provision of accurate and reliable clinical assessment. However, the inherent variability of liver tumors, coupled with the challenges posed by blurred boundaries in imaging characteristics, presents a substantial obstacle to achieving their precise segmentation. In this paper, we propose a novel dual-branch liver tumor segmentation model, SBCNet, to address these challenges effectively.

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