Yixuan Liu

ORCID: 0009-0002-2347-5378
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About
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Research Areas
  • Organometallic Complex Synthesis and Catalysis
  • Carbon dioxide utilization in catalysis
  • Particle Detector Development and Performance
  • Particle physics theoretical and experimental studies
  • biodegradable polymer synthesis and properties
  • Artificial Intelligence in Healthcare and Education
  • Radiation Detection and Scintillator Technologies
  • Electronic Health Records Systems
  • Climate variability and models
  • Medical Imaging Techniques and Applications
  • Blockchain Technology Applications and Security
  • Organoboron and organosilicon chemistry
  • Artificial Intelligence in Law
  • Machine Learning in Healthcare

Changchun Institute of Applied Chemistry
2023-2024

University of Science and Technology of China
2023-2024

Institute of Atmospheric Physics
2024

Chinese Academy of Sciences
2023-2024

Huazhong University of Science and Technology
2023

The High Granularity Timing Detector (HGTD) will be installed in the ATLAS experiment to mitigate pile-up effects during Luminosity (HL) phase of Large Hadron Collider (LHC) at CERN. Low Gain Avalanche Detectors (LGADs) provide high-precision measurements time arrival particles HGTD, improving particle-vertex assignment. To cope with high-radiation environment, LGADs have been optimized by adding carbon gain layer, thus reducing acceptor removal rate after irradiation. Performances several...

10.1088/1748-0221/18/05/p05005 article EN cc-by Journal of Instrumentation 2023-05-01

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10.2139/ssrn.4688240 preprint EN 2024-01-01

Smart contracts are computer programs running on blockchains to implement Decentralized Applications.The absence of contract specifications hinders routine tasks, such as understanding and testing. Inthis work, we propose a specification mining approach infer from past transactionhistories. Our derives high-level behavioral automata function invocations, accompanied byprogram invariants statistically inferred the transaction histories. We implemented our toolSmConand evaluated it eleven...

10.48550/arxiv.2403.13279 preprint EN arXiv (Cornell University) 2024-03-19

Abstract Distinct Pacific-North American (PNA) teleconnection patterns and their associated climate impacts in North America have been observed during single-year El Niño events, as well both the first second years of multi-year events. The research highlights critical role PNA-related Pacific circulation anomalies, which shift northwestward events reach peak intensity year. Multiple dynamical diagnostic methods are employed to elucidate reasons behind diverse subtropical responses....

10.1088/1748-9326/ad9038 article EN cc-by Environmental Research Letters 2024-11-08

This study presents systematic design guidelines for AI-powered clinical decision support systems (AI-CDSS) based on a comprehensive literature review and theme analysis. The proposed are divided into two parts, comprising 25 items: "How—design methods" "What—design content forms." usability of these is demonstrated through an AI-CDSS practice stroke diagnosis thrombolytic risk assessment in Chinese setting. empirical case provides practical suggestions similar designs that require fast...

10.1080/10447318.2023.2235882 article EN International Journal of Human-Computer Interaction 2023-07-21

The High Granularity Timing Detector (HGTD) will be installed in the ATLAS experiment to mitigate pile-up effects during Luminosity (HL) phase of Large Hadron Collider (LHC) at CERN. Low Gain Avalanche Detectors (LGADs) provide high-precision measurements time arrival particles HGTD, improving particle-vertex assignment. To cope with high-radiation environment, LGADs have been optimized by adding carbon gain layer, thus reducing acceptor removal rate after irradiation. Performances several...

10.48550/arxiv.2303.07728 preprint EN cc-by arXiv (Cornell University) 2023-01-01
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