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pro vyhledávání: '"CHANG, Chun"'
Akademický článek
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Autor:
Lee, Bo-Ray, Chiang, Mao Feng, Ho, Pei Ying, Chen, Kuan-Heng, Lee, Jia-Hua, Hsu, Po Hsiang, Peng, Yu Chieh, Hou, Jun-Yi, Chen, Shih-Chieh, Lee, Qian-Yo, Chang, Chun-Hao, Li, Bor-Ran, Lin, Tzu-En, Lin, Chieh-Ting, Shih, Min-Hsiung, Lien, Der-Hsien, Lin, Yu-Chuan, Horng, Ray-Hua, Kivshar, Yuri, Tseng, Ming Lun
Publikováno v:
Advanced Functional Materials, 2025
High-performance DUV spectroscopy drives advancements in biomedical research, clinical diagnosis, and material science. Existing DUV resonant nanostructures face instability and photoluminescent noise challenges. We propose robust Si metasurfaces lev
Externí odkaz:
http://arxiv.org/abs/2501.00764
The unique electron deficiency of boron makes it challenging to determine the stable structures, leading to a wide variety of forms. In this work, we introduce a statistical model based on grand canonical ensemble theory that incorporates the octet r
Externí odkaz:
http://arxiv.org/abs/2412.18172
Energy degeneracy in physical systems may be induced by symmetries of the Hamiltonian, and the resonance of degeneracy states in carbon nanostructures can effectively enhance the stability of the system. Combining the octet rule, we introduce a param
Externí odkaz:
http://arxiv.org/abs/2412.13588
Multimodal Large Language Models (MLLMs) have made significant progress in tasks such as image captioning and question answering. However, while these models can generate realistic captions, they often struggle with providing precise instructions, pa
Externí odkaz:
http://arxiv.org/abs/2412.06613
Autor:
Wang, Shaoxiang, Xie, Yaxu, Chang, Chun-Peng, Millerdurai, Christen, Pagani, Alain, Stricker, Didier
Neural implicit fields have recently emerged as a powerful representation method for multi-view surface reconstruction due to their simplicity and state-of-the-art performance. However, reconstructing thin structures of indoor scenes while ensuring r
Externí odkaz:
http://arxiv.org/abs/2412.00242
Autor:
Miki, Takeshi, Chang, Chun-Wei, Ke, Po-Ju, Telschow, Arndt, Tsai, Cheng-Han, Ushio, Masayuki, Hsieh, Chih-hao
Quantifying interaction strengths between state variables in dynamical systems is essential for understanding ecological networks. Within the empirical dynamic modeling approach, multivariate S-map infers the interaction Jacobian from time series dat
Externí odkaz:
http://arxiv.org/abs/2411.09030
Autor:
QIAOAN, RUNYA, Grillot, Caroline
Publikováno v:
Perspectives Chinoises, 2022 Jan 01(2), 82-83.
Externí odkaz:
https://www.jstor.org/stable/27185287
Autor:
Wang, Tao, Zou, Mingjie, Zhang, Dehe, Ku, Yu-Chieh, Zheng, Yawen, Pan, Shen, Ren, Zhongqi, Xu, Zedong, Huang, Haoliang, Luo, Wei, Tang, Yunlong, Chen, Lang, Liu, Cheng-En, Chang, Chun-Fu, Das, Sujit, Bellaiche, Laurent, Yang, Yurong, Ma, Xiuliang, Kuo, Chang-Yang, Liu, Xingjun, Chen, Zuhuang
Publikováno v:
Matter 8, 1-11, 2025
Efforts to combine the advantages of multiple systems to enhance functionlities through solid solution design present a great challenge due to the constraint imposed by the classical Vegard law. Here, we successfully navigate this trade off by levera
Externí odkaz:
http://arxiv.org/abs/2410.12252
Akademický článek
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