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Showing 201 - 220 results of 5,392 for search '((spinnae OR (find OR (spin OR spinggge))) OR (pinn OR pin))', query time: 0.15s 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
  6. 206

    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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    16.07 Dynamics, Fall 2004 by Peraire, Jaume

    Published 2004
    Subjects:
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    Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

    Published 2024
    “…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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    Journal Article
  19. 219

    Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

    Published 2024
    “…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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    Journal Article
  20. 220

    Experimental Characterization of Iron-Sulfur Cluster Excited States and their Relevance to Electron Transfer Reactions by Skeel, Brighton A.

    Published 2024
    “…We find that the energy scale associated with both of these phenomena is commensurate with that of the thermal energy at ambient temperature, and that these alternate valence arrangements and spin configurations are thus relevant to understanding the room temperature reactivity of biological Fe−S systems. …”
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    Thesis