Zobrazeno 1 - 10
of 684
pro vyhledávání: '"Wong, Bryan M."'
Autor:
Wu, Shixun, Ding, Yitong, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Dai, Huangliang, Di, Sheng, Wong, Bryan M., Chen, Zizhong, Cappello, Franck
K-means is a widely used algorithm in clustering, however, its efficiency is primarily constrained by the computational cost of distance computing. Existing implementations suffer from suboptimal utilization of computational units and lack resilience
Externí odkaz:
http://arxiv.org/abs/2408.01391
Autor:
Dieguez, Adrian Perez, Choi, Min, Okyay, Mahmut, Del Ben, Mauro, Wong, Bryan M., Ibrahim, Khaled Z.
Tuning searches are pivotal in High-Performance Computing (HPC), addressing complex optimization challenges in computational applications. The complexity arises not only from finely tuning parameters within routines but also potential interdependenci
Externí odkaz:
http://arxiv.org/abs/2403.08131
Publikováno v:
AVS Quantum Sci. 5, 043801 (2023)
We present a novel, computationally efficient approach to accelerate quantum optimal control calculations of large multi-qubit systems used in a variety of quantum computing applications. By leveraging the intrinsic symmetry of finite groups, the Hil
Externí odkaz:
http://arxiv.org/abs/2309.05884
Publikováno v:
J. Chem. Theory Comput., 19, 22, 7989-7997 (2024)
We present a new velocity-gauge real-time, time-dependent density functional tight-binding (VG-rtTDDFTB) implementation in the open-source DFTB+ software package (https://dftbplus.org) for probing electronic excitations in large, condensed matter sys
Externí odkaz:
http://arxiv.org/abs/2308.09782
Autor:
Wu, Shixun, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Wong, Bryan M., Chen, Zizhong
General Matrix Multiplication (GEMM) is a crucial algorithm for various applications such as machine learning and scientific computing, and an efficient GEMM implementation is essential for the performance of these systems. While researchers often st
Externí odkaz:
http://arxiv.org/abs/2305.01024
Publikováno v:
Journal of Physics: Condensed Matter, 33, 115501 (2021)
The accurate prediction of band gaps and structural properties in periodic systems continues to be one of the central goals of electronic structure theory. However, band gaps obtained from popular exchange-correlation functionals (such as LDA and PBE
Externí odkaz:
http://arxiv.org/abs/2203.08953
Autor:
Biswas, Sohag, Wong, Bryan M.
Publikováno v:
Journal of Physical Chemistry C, 125, 21922-21932 (2021)
The enhanced degradation of organophosphorous-based chemical warfare agents (CWAs) on metal-oxide surfaces holds immense promise for neutralization efforts; however, the underlying mechanisms in this process remain poorly understood. We utilize large
Externí odkaz:
http://arxiv.org/abs/2203.08035
Autor:
Wong, Bryan M., Chevalier, Cameron
Publikováno v:
Computer Physics Communications 274, 108299 (2022)
We present an open-source software package, HADOKEN (High-level Algorithms to Design, Optimize, and Keep Electrons in Nanowires), for predicting electron confinement/localization effects in nanowires with various geometries, {arbitrary number of conc
Externí odkaz:
http://arxiv.org/abs/2203.05233
Publikováno v:
In Computer Physics Communications July 2024 300
Autor:
Wang, Fang, Xiang, Leilei, Sze-Yin Leung, Kelvin, Elsner, Martin, Zhang, Ying, Guo, Yuming, Pan, Bo, Sun, Hongwen, An, Taicheng, Ying, Guangguo, Brooks, Bryan W., Hou, Deyi, Helbling, Damian E., Sun, Jianqiang, Qiu, Hao, Vogel, Timothy M., Zhang, Wei, Gao, Yanzheng, Simpson, Myrna J., Luo, Yi, Chang, Scott X., Su, Guanyong, Wong, Bryan M., Fu, Tzung-May, Zhu, Dong, Jobst, Karl J., Ge, Chengjun, Coulon, Frederic, Harindintwali, Jean Damascene, Zeng, Xiankui, Wang, Haijun, Fu, Yuhao, Wei, Zhong, Lohmann, Rainer, Chen, Changer, Song, Yang, Sanchez-Cid, Concepcion, Wang, Yu, El-Naggar, Ali, Yao, Yiming, Huang, Yanran, Cheuk-Fung Law, Japhet, Gu, Chenggang, Shen, Huizhong, Gao, Yanpeng, Qin, Chao, Li, Hao, Zhang, Tong, Corcoll, Natàlia, Liu, Min, Alessi, Daniel S., Li, Hui, Brandt, Kristian K., Pico, Yolanda, Gu, Cheng, Guo, Jianhua, Su, Jianqiang, Corvini, Philippe, Ye, Mao, Rocha-Santos, Teresa, He, Huan, Yang, Yi, Tong, Meiping, Zhang, Weina, Suanon, Fidèle, Brahushi, Ferdi, Wang, Zhenyu, Hashsham, Syed A., Virta, Marko, Yuan, Qingbin, Jiang, Gaofei, Tremblay, Louis A., Bu, Qingwei, Wu, Jichun, Peijnenburg, Willie, Topp, Edward, Cao, Xinde, Jiang, Xin, Zheng, Minghui, Zhang, Taolin, Luo, Yongming, Zhu, Lizhong, Li, Xiangdong, Barceló, Damià, Chen, Jianmin, Xing, Baoshan, Amelung, Wulf, Cai, Zongwei, Naidu, Ravi, Shen, Qirong, Pawliszyn, Janusz, Zhu, Yong-guan, Schaeffer, Andreas, Rillig, Matthias C., Wu, Fengchang, Yu, Gang, Tiedje, James M.
Publikováno v:
In The Innovation 1 July 2024 5(4)