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  1. No Access

    Article

    Effect of ethylbenzene proportion on thermal behavior in styrene polymerization: kinetics and the glass transition temperature

    A rapid increase in viscosity during the polymerization process impacts the polymerization rate. To address this issue, ethylbenzene is often introduced into the polymerization system in order to reduce viscos...

    Huanhuan Chen, Chenghui Fang, Juan Zhou in Journal of Thermal Analysis and Calorimetry (2024)

  2. No Access

    Article

    Insights into reaction kinetics and autocatalysis behavior of propionic anhydride hydrolysis using real-time reaction calorimetry method

    The hydrolysis reactions of anhydride have been frequently used as important model reactions for thermal hazard study. The anhydride hydrolysis reactions are commonly heterogeneous liquid–liquid systems due to...

    Zichao Guo, Wei Feng, **ngyu Shao in Journal of Thermal Analysis and Calorimetry (2023)

  3. No Access

    Article

    Model identification and classification of autocatalytic decomposition kinetics

    Decomposition of most hazardous chemicals is accompanied by autocatalytic characteristics. Strength of autocatalytic decomposition sheds light on the development of risk control measures and identification of ...

    Wenqian Wu, **aoqiao Zhao, Fuqing Meng in Journal of Thermal Analysis and Calorimetry (2023)

  4. No Access

    Article

    Investigation into maximum temperature of synthesis reaction for single kinetically controlled liquid–liquid semibatch reactions with arbitrary reaction order

    Maximum temperature of synthesis reaction (MTSR) is an essential concept to assess the thermal runaway risk and design safe operating conditions for semibatch reactors (SBRs). According to the definition, the ...

    **aoyu Jiang, Wei Feng, Zichao Guo in Journal of Thermal Analysis and Calorimetry (2021)

  5. Article

    Open Access

    Publisher Correction: A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.

    Zichao Guo, Hong Liu, Haomiao Ni, **angdong Wang, Mingming Su in Scientific Reports (2020)

  6. No Access

    Chapter and Conference Paper

    Angle-Based Search Space Shrinking for Neural Architecture Search

    In this work, we present a simple and general search space shrinking method, called Angle-Based search space Shrinking (ABS), for Neural Architecture Search (NAS). Our approach progressively simplifies the ori...

    Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan in Computer Vision – ECCV 2020 (2020)

  7. No Access

    Chapter and Conference Paper

    Single Path One-Shot Neural Architecture Search with Uniform Sampling

    We revisit the one-shot Neural Architecture Search (NAS) paradigm and analyze its advantages over existing NAS approaches. Existing one-shot method, however, is hard to train and not yet effective on large sca...

    Zichao Guo, **angyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu in Computer Vision – ECCV 2020 (2020)

  8. No Access

    Article

    Simulation approach to decomposition kinetics and thermal hazards of hexamethylenetetramine

    The thermal stability of HMT under dynamic, isothermal and adiabatic conditions was investigated using differential scanning calorimeter (DSC) and accelerating rate calorimeter (ARC), respectively. It is found...

    Guoning Rao, Wei Feng, Jun Zhang in Journal of Thermal Analysis and Calorimetry (2019)

  9. Article

    Open Access

    A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

    Supervised learning methods are commonly applied in medical image analysis. However, the success of these approaches is highly dependent on the availability of large manually detailed annotated dataset. Thus a...

    Zichao Guo, Hong Liu, Haomiao Ni, **angdong Wang, Mingming Su in Scientific Reports (2019)

  10. No Access

    Chapter and Conference Paper

    Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection

    This paper proposes a novel multiple visual fields cascaded convolutional neural network MVF-CasCNN to detect breast cancer metastases in the gigapixel whole slide image WSI. Here visual field is the total area o...

    Haomiao Ni, Hong Liu, Zichao Guo in PRICAI 2018: Trends in Artificial Intellig… (2018)