Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials von Sapkota, Dixant Bikal, Neupane, Puskar, Joshi, Mecon, Khan, Shahabuddin

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MagNet Challenge for Data-Driven Power Magnetics Modeling von Li, Haoran, Serrano, Diego, Kirchgassner, Wilhelm, Piepenbrock, Till, Schweins, Oliver, Wallscheid, Oliver, Huang, Qiujie, Li, Yang, Dou, Yu, Li, Bo, Li, Sinan, Radhakrishnan, Sritharini, Ranjram, Mike, Sauter, Bailey, Reese, Skye, Sinha, Shivangi, Cui, Binyu, Wang, Jun, Liu, Song, Martinez, Alfonso, Liu, Xinyu, Wu, Gaoyuan, Wu, Hao, Zhang, Rui, Song, Hao, Zhang, Lie, Lu, Yibo, Hang, Lijun, Rajput, Neha, Sandhibigraha, Himanshu Bhusan, Agrawal, Neeraj, Iyer, Vishnu Mahadeva, Tian, Fanghao, Sui, Qingcheng, Kong, Jiaze, Martinez, Wilmar, Arruti, Asier, Alberdi, Borja, Aizpuru, Iosu, Zhang, Minmin, Chen, Xia, Wang, Duo, Shen, Tianming, Li, Yaohua, Wang, Sicheng, Tang, Yi, Li, Jian-De, Yu, Li-Chen, Liu, Yu-Chen, Chen, Chen, Lombardo, Nicolo, Marmello, Fabio, Morra, Simone, Solimene, Luigi, Ragusa, Carlo Stefano, Reynvaan, Jacob, Stoiber, Martin, Li, Chengbo, Qin, Wei, Ma, Xiang, Zhang, Boyu, Wang, Zheng, Cheng, Ming, Xu, Wei, Xu, Jing, Shi, Zhongqi, Sapkota, Dixant Bikal, Neupane, Puskar, Joshi, Mecon, Khan, Shahabuddin, Su, Bowen, Xiao, Yunhao, Yang, Min, Mirzadarani, Reza, Liu, Ruijun, Wang, Lu, Luo, Tianming, Lyu, Dingsihao, Qin, Zian, Meerza, Syed Irfan Ali, Froehle, Kody, Costinett, Daniel, Liu, Jian, Liu, Zhanlei, Zhan, Cao, Dang, Yongliang, Zhang, Yukun, Chen, Yiting, Li, Chushan, Yao, Yinan, Hu, Tianxiang, Xu, Lumeng, Wang, Yiyi, Wang, Sichen, Shumacher, David, Maksimovic, Dragan, Hui, Ron S. Y., Kolar, Johann W., Perreault, David J., Sullivan, Charles R.

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