Zobrazeno 1 - 10
of 20 448
pro vyhledávání: '"CHANG, Chun"'
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:
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
Autor:
Marino, Andrea, Christovam, Denise S., Takegami, Daisuke, Falke, Johannes, Carvalho, Miguel M. F., Okauchi, Takaki, Chang, Chun-Fu, Altendorf, Simone G., Amorese, Andrea, Sundermann, Martin, Gloskovskii, Andrei, Gretarsson, Hlynur, Keimer, Bernhard, Andreev, Alexandr V., Havela, Ladislav, Leithe-Jasper, Andreas, Severing, Andrea, Kunes, Jan, Tjeng, Liu Hao, Hariki, Atsushi
Publikováno v:
Phys. Rev. Research 6, 033068 (2024), Editors' Suggestions
A procedure for quantifying the U $5f$ electrons' covalence and degree of localization in U intermetallic compounds is presented. To this end, bulk sensitive hard and soft x-ray photoelectron spectroscopy were utilized in combination with density-fun
Externí odkaz:
http://arxiv.org/abs/2404.06266
The increasing affordability of robot hardware is accelerating the integration of robots into everyday activities. However, training a robot to automate a task requires expensive trajectory data where a trained human annotator moves a physical robot
Externí odkaz:
http://arxiv.org/abs/2404.06089
Enhanced polarization switching characteristics of HfO2 ultrathin films via acceptor-donor co-doping
Autor:
Zhou, Chao, Ma, Liyang, Feng, Yanpeng, Kuo, Chang-Yang, Ku, Yu-Chieh, Liu, Cheng-En, Cheng, Xianlong, Li, Jingxuan, Si, Yangyang, Huang, Haoliang, Huang, Yan, Zhao, Hongjian, Chang, Chun-Fu, Das, Sujit, Liu, Shi, Chen, Zuhuang
In the realm of ferroelectric memories, HfO2-based ferroelectrics stand out because of their exceptional CMOS compatibility and scalability. Nevertheless, their switchable polarization and switching speed are not on par with those of perovskite ferro
Externí odkaz:
http://arxiv.org/abs/2403.04994
3D visual grounding involves matching natural language descriptions with their corresponding objects in 3D spaces. Existing methods often face challenges with accuracy in object recognition and struggle in interpreting complex linguistic queries, par
Externí odkaz:
http://arxiv.org/abs/2403.03077