Xiaobin Tang

ORCID: 0000-0003-3308-0468
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About
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Research Areas
  • Radiation Detection and Scintillator Technologies
  • Nuclear Physics and Applications
  • Advanced Energy Technologies and Civil Engineering Innovations
  • Radiation Therapy and Dosimetry
  • Advanced Radiotherapy Techniques
  • Membrane Separation Technologies
  • Medical Imaging Techniques and Applications
  • Boron Compounds in Chemistry
  • Nuclear Materials and Properties
  • Advanced Materials and Semiconductor Technologies
  • Fusion materials and technologies
  • Advanced Thermoelectric Materials and Devices
  • Nuclear reactor physics and engineering
  • Graphite, nuclear technology, radiation studies
  • Thermal Radiation and Cooling Technologies
  • Luminescence Properties of Advanced Materials
  • Radiation Effects in Electronics
  • Solid-state spectroscopy and crystallography
  • Advanced X-ray and CT Imaging
  • Water Treatment and Disinfection
  • Perovskite Materials and Applications
  • Energy Harvesting in Wireless Networks
  • Particle Detector Development and Performance
  • Additive Manufacturing Materials and Processes
  • Metamaterials and Metasurfaces Applications

Nanjing University of Aeronautics and Astronautics
2016-2025

Ministry of Industry and Information Technology
2017-2025

Harbin Institute of Technology
2016-2025

China National Petroleum Corporation (China)
2024-2025

Zhejiang University
2023-2024

China Academy of Information and Communications Technology
2020-2023

Shaanxi Normal University
2023

National University of Defense Technology
2023

Shanghai University
2023

Kochi University of Technology
2021-2022

4506 Background: In IMmotion010, adj atezo did not prolong investigator-assessed disease-free survival (DFS; primary endpoint) vs pbo after resection in pts with RCC (HR: 0.93, 95% CI: 0.75, 1.15; P=0.50; Pal Lancet 2023). This exploratory analysis of circulating protein biomarkers was performed to identify high-risk minimal residual disease (MRD) who may show differential benefit from treatment (tx) atezo. Methods: Pts clear-cell or sarcomatoid component and increased recurrence risk post...

10.1200/jco.2024.42.16_suppl.4506 article EN Journal of Clinical Oncology 2024-06-01

Hybrid methylammonium lead tribromide (MAPbBr3) perovskite has attracted great attention in ionization radiation detection. However, the charge collection remains a challenge. Here, fast response and high-sensitivity X-ray detection based on MAPbBr3 single crystals with surface barrier Schottky diode been achieved at room temperature. The can overcome large leakage current high electrical field, enabling us to reduce noise increase efficiency. This device demonstrated 3 times improvement...

10.1021/acsami.8b21605 article EN ACS Applied Materials & Interfaces 2019-02-22

Knowledge graph alignment aims to link equivalent entities across different knowledge graphs. To utilize both the structures and side information such as name, description attributes, most of works propagate especially names through linked by neural networks. However, due heterogeneity graphs, accuracy will be suffered from aggregating neighbors. This work presents an interaction model only leverage information. Instead neighbors, we compute interactions between neighbors which can capture...

10.24963/ijcai.2020/439 article EN 2020-07-01

In recent times, higher education has seen a growing concern regarding the utilisation of artificial intelligence, especially with emergence ChatGPT. This technology can generate written content and respond to queries at level that is nearly indistinguishable from human writer. feature drawn substantial interest students in led will use ChatGPT's capabilities cheat on formative summative assessments. this paper, we review usage ChatGPT assessments investigate why want using intelligence...

10.37074/jalt.2023.6.2.32 article EN Journal of Applied Learning & Teaching 2023-10-11

10.1016/s1011-1344(98)00195-x article EN Journal of Photochemistry and Photobiology B Biology 1998-10-01

Closing the gap between experiments and simulations in investigation of high-pressure silicon phase transitions calls for advanced, new-generation modeling approaches. By exploiting massive parallelization, we here provide molecular dynamics (MD) Si nanoindentation based on Gaussian Approximation Potential (GAP). Results are analyzed by a customized Neural Network Phase Recognition (NN-PR) approach, helping to shed light occurring during simulations. Our results show that GAP provides...

10.1016/j.actamat.2023.119465 article EN cc-by-nc-nd Acta Materialia 2023-10-24
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