Showing 241 - 260 results of 5,294 for search '(((pinn OR (pingn OR pinon)) OR find) OR ((((aina OR ain) OR aini) OR (swing OR pingao)) OR pin))', query time: 0.22s Refine Results
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    Machine learning driven synthesis of few-layered WTe₂ with geometrical control by Xu, Manzhang, Tang, Bijun, Lu, Yuhao, Zhu, Chao, Lu, Qianbo, Zhu, Chao, Zheng, Lu, Zhang, Jingyu, Han, Nannan, Fang, Weidong, Guo, Yuxi, Di, Jun, Song, Pin, He, Yongmin, Kang, Lixing, Zhang, Zhiyong, Zhao, Wu, Guan, Cuntai, Wang, Xuewen, Liu, Zheng

    Published 2022
    “…Notably, the growth mechanism of 1T' few-layered WTe2 NRs is further proposed, which provides new insights for the growth of intriguing 2D and 1D tellurides and may inspire the growth strategies for other 1D nanostructures. Our findings suggest the effectiveness and capability of ML in guiding the synthesis of 1D nanostructures, opening up new opportunities for intelligent materials development.…”
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    Journal Article
  13. 253

    Assessing mentoring : a scoping review of mentoring assessment tools in internal medicine between 1990 and 2019 by Ng, Yong Xiang, Koh, Zachary Yong Keat, Yap, Hong Wei, Tay, Kuang Teck, Tan, Xiu Hui, Ong, Yun Ting, Tan, Lorraine Hui En, Chin, Annelissa Mien Chew, Toh, Ying Pin, Shivananda, Sushma, Compton, Scott, Mason, Stephen, Kanesvaran, Ravindran, Krishna, Lalit

    Published 2021
    “…A ‘split approach’ saw research members adopting either Braun and Clarke’s approach to thematic analysis or directed content analysis to independently evaluate the data and improve validity and objectivity of the findings. Results: 9662 abstracts were identified, 187 full-text articles reviewed, and 54 full-text articles included. …”
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    Journal Article
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    Materials cartography: A forward-looking perspective on materials representation and devising better maps by Torrisi, Steven B., Bazant, Martin Z., Cohen, Alexander E., Cho, Min Gee, Hummelshøj, Jens S., Hung, Linda, Kamat, Gaurav, Khajeh, Arash, Kolluru, Adeesh, Lei, Xiangyun, Ling, Handong, Montoya, Joseph H., Mueller, Tim, Palizhati, Aini, Paren, Benjamin A., Phan, Brandon, Pietryga, Jacob, Sandraz, Elodie, Schweigert, Daniel, Shao-Horn, Yang, Trewartha, Amalie, Zhu, Ruijie, Zhuang, Debbie, Sun, Shijing

    Published 2024
    “…We present several promising directions for future research: devising representations of varied experimental conditions and observations, the need to find ways to integrate machine learning into laboratory practices, and making multi-scale informatics toolkits to bridge the gaps between atoms, materials, and devices.…”
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    Article
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