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  1. 161

    Mitigating functional fatigue of 3D-printed nickel-titanium shape memory alloy using hybridizing stabilizers by Ojo Philip Bodunde, Shiming Gao, Shuo Qu, Junhao Ding, Xu Song, Wei-Hsin Liao

    Published 2025-09-01
    “…And the numbers of cycle to fatigue failure ranges between 3500 and 4000 for NiTi-α; 1500 and 2000 for NiTi-β; and like bare NiTi, 1000 and 1500 for NiTi-γ. Details of microstructure were given and its information could be helpful for those who require hybridized NiTi alloys for various applications.…”
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  2. 162

    Introducing MagBERT: A language model for magnesium textual data mining and analysis by Surjeet Kumar, Russlan Jaafreh, Nirpendra Singh, Kotiba Hamad, Dae Ho Yoon

    Published 2024-08-01
    “…This NER model can extract mechanical, microstructural, and processing properties related to Mg alloys. …”
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  3. 163

    Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

    Published 2025-01-01
    “…High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. …”
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  4. 164

    A diachronic study on the treatment of culture-bound words in Chinese-English Dictionaries (1819–2014): A case study of confucian terms by Jinyan Li

    Published 2025-02-01
    “…Cultural information has long been recognised as an integral part of bilingual dictionaries. …”
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  5. 165

    High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

    Published 2024-12-01
    “…First, variational autoencoders (VAEs) are employed for efficient dimensionality reduction, mapping complex, high‐dimensional metamaterial microstructures into a compact latent space. Second, mutual information maximization is incorporated into the VAE to enhance the quality of the learned latent space, ensuring that the most relevant features for optimization are retained. …”
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    A reduced cluster dynamics modeling of radiation damage in tungsten by Zhiyuan Li, Gaowen Ding, Pengchuang Liu, Tenglong Cong, Yang Li

    Published 2024-12-01
    “…A reduced cluster dynamics model is developed to investigate the microstructure evolution of irradiated single crystal tungsten. …”
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    Development and Validation of Radiation Embrittlement Prediction Model of Austenitic Stainless Steel by JIA Lixia, WANG Dongjie, HE Xinfu, WU Shi, YANG Wen

    Published 2024-08-01
    “…In order to predict the irradiation embrittlement bahavior of austenitic stainless steels, firstly, according to the correlation relationship between irradiation hardening and irradiated microstructure information, the post-irradiation microstructure information was used to predict the tensile yield stress after irradiation. …”
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