Zobrazeno 1 - 10
of 1 033
pro vyhledávání: '"Nguyen, The Quyen"'
Autor:
Luong, Hoang Mai, Kaiyasuan, Chokchai, Yi, Ahra, Chae, Sangmin, Kim, Brian Minki, Panoy, Patchareepond, Kim, Hyo Jung, Promarak, Vinich, Miyata, Yasuo, Nakayama, Hidenori, Nguyen, Thuc-Quyen
Shortwave infrared (SWIR) has various applications, including night vision, remote sensing, and medical imaging. SWIR organic photodetectors (OPDs) offer advantages such as flexibility, cost-effectiveness, and tunable properties, however, lower sensi
Externí odkaz:
http://arxiv.org/abs/2309.07370
Publikováno v:
International Journal of Sociology and Social Policy, 2024, Vol. 44, Issue 7/8, pp. 629-642.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSSP-01-2024-0003
Autor:
Nguyen Nhat Quyen, Wen-Yen Tzeng, Chih-En Hsu, I-An Lin, Wan-Hsin Chen, Hao-Hsiang Jia, Sheng-Chiao Wang, Cheng-En Liu, Yu-Sheng Chen, Wei-Liang Chen, Ta-Lei Chou, I-Ta Wang, Chia-Nung Kuo, Chun-Liang Lin, Chien-Te Wu, Ping-Hui Lin, Shih-Chang Weng, Cheng-Maw Cheng, Chang-Yang Kuo, Chien-Ming Tu, Ming-Wen Chu, Yu-Ming Chang, Chin Shan Lue, Hung-Chung Hsueh, Chih-Wei Luo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Charge density waves (CDWs) involved with electronic and phononic subsystems simultaneously are a common quantum state in solid-state physics, especially in low-dimensional materials. However, CDW phase dynamics in various dimensions are yet
Externí odkaz:
https://doaj.org/article/07a4f02af06141bf9b90743e5f33d009
Autor:
Guo, Jing, Liu, Ying, Chen, Ping-An, Wang, Xinhao, Wang, Yanpei, Qiu, Xincan, Zeng, Zebing, Jiang, Lang, Yi, Yuanping, Watanabe, Shun, Liao, Lei, Bai, Yugang, Nguyen, Thuc-Quyen, Hu, Yuanyuan
Doping is of great importance to tailor the electrical properties of semiconductors. However, the present doping methodologies for organic semiconductors (OSCs) are either inefficient or can only apply to a small number of OSCs, seriously limiting th
Externí odkaz:
http://arxiv.org/abs/2202.06497
Autor:
Phan The Duy, Vo Quang Minh, Bui Tan Hai Dang, Ngo Duc Hoang Son, Nguyen Huu Quyen, Van-Hau Pham
Publikováno v:
IEEE Access, Vol 12, Pp 137805-137824 (2024)
Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity, particularly in detecting phishing websites. Traditional methods struggle to address evolving vulnerabilities, but research shows that Machine Learning (ML), Ens
Externí odkaz:
https://doaj.org/article/cabb6c9b0da7485587455a3907284330
Molecular dynamics (MD) simulation, which is considered an important tool for studying physical and chemical processes at the atomic scale, requires accurate calculations of energies and forces. Although reliable energies and forces can be obtained b
Externí odkaz:
http://arxiv.org/abs/2111.05603
Autor:
Privitera, Alberto, Grune, Jeannine, Karki, Akchheta, Myers, William K., Dyakonov, Vladimir, Nguyen, Thuc-Quyen, Riede, Moritz K., Friend, Richard H., Sperlich, Andreas, Gillett, Alexander J.
Organic solar cells (OSCs) have recently shown a rapid improvement in their performance, bringing power conversion efficiencies (PCEs) closer to the point where commercial applications of the technology become viable. However, the low open-circuit vo
Externí odkaz:
http://arxiv.org/abs/2110.15393
Autor:
Yi, Ahra, Chae, Sangmin, Luong, Hoang Mai, Lee, Sung Hun, Lee, Hanbin, Yoon, Haeun, Kim, Do-Hyung, Kim, Hyo Jung, Nguyen, Thuc-Quyen
Publikováno v:
In Joule 17 July 2024 8(7):2087-2104
Autor:
Luong, Hoang Mai, Chae, Sangmin, Yi, Ahra, Chatsirisupachai, Jirat, Kim, Brian Minki, Wan, Yuxiang, Promarak, Vinich, Kim, Hyo Jung, Nguyen, Thuc-Quyen
Publikováno v:
In Matter 3 July 2024 7(7):2473-2489
We demonstrate a machine learning approach designed to extract hidden chemistry/physics to facilitate new materials discovery. In particular, we propose a novel method for learning latent knowledge from material structure data in which machine learni
Externí odkaz:
http://arxiv.org/abs/2101.11902