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69 та иш

Иш: Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model

  1. Bayesian machine learning-aided approach bridges between dynamic elasticity and compressive strength in the cement-based mortars

    Ning Wang, Majid Samavatian, Vahid Samavatian +1

    Мақола20237 иқтибос
    ABI

  2. Correlation-driven machine learning for accelerated reliability assessment of solder joints in electronics

    Vahid Samavatian, Mahmud Fotuhi‐Firuzabad, Majid Samavatian +2

    Мақола20205 иқтибос
    ABI

  3. Role of Alloying Composition on Mechanical Properties of CuZr Metallic Glasses During the Nanoindentation Process

    Saade Abdalkareem Jasim, Muneam Hussein Ali, Zaid Mahmood +5

    Мақола20224 иқтибос
    ABI

  4. Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

    Panagiotis G. Asteris, Athanasia D. Skentou, Abidhan Bardhan +2

    Мақола20213 иқтибос
    ABI

  5. Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study

    Majid Samavatian, Reza Gholamipour, Dmitry Olegovich Bokov +3

    Мақола20213 иқтибос
    ABI

  6. An Introduction to Genetic Algorithms

    Melanie Mitchell

    Китоб19962 иқтибос
    ABI

  7. Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses

    Jie Xiong, Tong‐Yi Zhang, San‐Qiang Shi

    Мақола20192 иқтибос
    ABI

  8. Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach

    Majid Samavatian, Reza Gholamipour, Vahid Samavatian

    Мақола20202 иқтибос
    ABI

  9. Correlative study between elastic modulus and glass formation in ZrCuAl(X) amorphous system using a machine learning approach

    Jianqing Li, Tzu-Chia Chen, Angelina Olegovna Zekiy

    Мақола20212 иқтибос
    ABI

  10. Prediction of Vickers hardness of amorphous alloys based on interpretable machine learning

    Xiaowei Liu, Zhilin Long, Peng Li

    Мақола20222 иқтибос
    ABI

  11. Machine learning modeling for the prediction of plastic properties in metallic glasses

    Nicolás Amigó, Simón Palominos, Felipe J. Valencia

    Мақола20232 иқтибос
    ABI

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