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Showing 601 - 620 results of 1,061 for search '((pinnau OR (spingsed OR skingsed)) OR ((pina OR (pinn OR ming)) OR (pin OR spin)))', query time: 0.17s Refine Results
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  15. 615

    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
  16. 616

    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
  17. 617

    Roadmap on energy harvesting materials by Pecunia, Vincenzo, Silva, S Ravi P, Phillips, Jamie D., Artegiani, Elisa, Romeo, Alessandro, Shim, Hongjae, Park, Jongsung, Kim, Jin Hyeok, Yun, Jae Sung, Welch, Gregory C., Larson, Bryon W., Creran, Myles, Laventure, Audrey, Sasitharan, Kezia, Flores-Diaz, Natalie, Freitag, Marina, Xu, Jie, Brown, Thomas M., Li, Benxuan, Wang, Yiwen, Li, Zhe, Hou, Bo, Hamadani, Behrang H., Defay, Emmanuel, Kovacova, Veronika, Glinsek, Sebastjan, Kar-Narayan, Sohini, Bai, Yang, Kim, Da Bin, Cho, Yong Soo, Žukauskaitė, Agnė, Barth, Stephan, Fan, Feng Ru, Wu, Wenzhuo, Costa, Pedro, del Campo, Javier, Lanceros-Mendez, Senentxu, Khanbareh, Hamideh, Wang, Zhong Lin, Pu, Xiong, Pan, Caofeng, Zhang, Renyun, Xu, Jing, Zhao, Xun, Zhou, Yihao, Chen, Guorui, Tat, Trinny, Ock, Il Woo, Chen, Jun, Graham, Sontyana Adonijah, Yu, Jae Su, Huang, Ling-Zhi, Li, Dan-Dan, Ma, Ming-Guo, Luo, Jikui, Jiang, Feng, Lee, Pooi See, Dudem, Bhaskar, Vivekananthan, Venkateswaran, Kanatzidis, Mercouri G., Xie, Hongyao, Shi, Xiao-Lei, Chen, Zhi-Gang, Riss, Alexander, Parzer, Michael, Garmroudi, Fabian, Bauer, Ernst, Zavanelli, Duncan, Brod, Madison K., Malki, Muath Al, Snyder, G. Jeffrey, Kovnir, Kirill, Kauzlarich, Susan M., Uher, Ctirad, Lan, Jinle, Lin, Yuan-Hua, Fonseca, Luis, Morata, Alex, Martin-Gonzalez, Marisol, Pennelli, Giovanni, Berthebaud, David, Mori, Takao, Quinn, Robert J., Bos, Jan-Willem G., Candolfi, Christophe, Gougeon, Patrick, Gall, Philippe, Lenoir, Bertrand, Venkateshvaran, Deepak, Kaestner, Bernd, Zhao, Yunshan, Zhang, Gang, Nonoguchi, Yoshiyuki, Schroeder, Bob C., Bilotti, Emiliano, Menon, Akanksha K., Urban, Jeffrey J., Fenwick, Oliver, Asker, Ceyla, Talin, A. Alec, Anthopoulos, Thomas D., Losi, Tommaso, Viola, Fabrizio, Caironi, Mario, Georgiadou, Dimitra G., Ding, Li, Peng, Lian-Mao, Wang, Zhenxing, Wei, Muh-Dey, Negra, Renato, Lemme, Max C., Wagih, Mahmoud, Beeby, Steve, Ibn-Mohammed, Taofeeq, Mustapha, K. B., Joshi, A. P.

    Published 2024
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    Journal Article
  18. 618
  19. 619

    Spectroscopic study of emergent electronic phases in transition metal based compounds by Song, Qian

    Published 2024
    “…Antiferromagnets with non-relativistic spin splitting are outstanding candidates as the next generation of spintronic materials owing to their electron-volt (eV) scale spin splitting, ultrafast spin dynamics and nearly vanishing stray fields. …”
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    Thesis
  20. 620

    Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

    Published 2024
    “…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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    Thesis