Zobrazeno 1 - 10
of 778
pro vyhledávání: '"Dai Fu"'
Publikováno v:
Jisuanji kexue, Vol 49, Iss 10, Pp 214-223 (2022)
Aiming at the problems in current face image synthesis,such as the lack of diversity of synthetic appearances and expressions,the low reality of the facial expressions and the low synthesis efficiency,this paper proposes a novel face synthesis networ
Externí odkaz:
https://doaj.org/article/7b1a28c8965a48f89ee961d6b0c80355
The melting point of a material constitutes a pivotal property with profound implications across various disciplines of science, engineering, and technology. Recent advancements in machine learning potentials have revolutionized the field, enabling a
Externí odkaz:
http://arxiv.org/abs/2408.17270
Publikováno v:
E3S Web of Conferences, Vol 369, p 02011 (2023)
Taking a commercial building in Shanghai as an example, a list of cooling and heating systems are established and operation strategies are formulated. Based on the precondition that the excess electricity can be sold to the grid, the primary energy u
Externí odkaz:
https://doaj.org/article/ad76616b82a848b387b6cadd3b03944c
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 8, Iss 4, Pp 1051-1068 (2018)
Abstract Transition zones in tight heterogeneous carbonate reservoirs contain a considerable amount of original oil in place. Identifying and characterizing the petrophysical flow units of the transition zone is crucial for reserve estimation and per
Externí odkaz:
https://doaj.org/article/dcf9f52fa37446e2ad0ccf15b446a948
Autor:
Zhang, Duo, Liu, Xinzijian, Zhang, Xiangyu, Zhang, Chengqian, Cai, Chun, Bi, Hangrui, Du, Yiming, Qin, Xuejian, Peng, Anyang, Huang, Jiameng, Li, Bowen, Shan, Yifan, Zeng, Jinzhe, Zhang, Yuzhi, Liu, Siyuan, Li, Yifan, Chang, Junhan, Wang, Xinyan, Zhou, Shuo, Liu, Jianchuan, Luo, Xiaoshan, Wang, Zhenyu, Jiang, Wanrun, Wu, Jing, Yang, Yudi, Yang, Jiyuan, Yang, Manyi, Gong, Fu-Qiang, Zhang, Linshuang, Shi, Mengchao, Dai, Fu-Zhi, York, Darrin M., Liu, Shi, Zhu, Tong, Zhong, Zhicheng, Lv, Jian, Cheng, Jun, Jia, Weile, Chen, Mohan, Ke, Guolin, E, Weinan, Zhang, Linfeng, Wang, Han
The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulati
Externí odkaz:
http://arxiv.org/abs/2312.15492
The interest in refractory materials is increasing rapidly in recent decades due to the development of hypersonic vehicles. However, which substance has the highest melting point keeps a secret, since precise measurements in extreme condition are ove
Externí odkaz:
http://arxiv.org/abs/2211.03103
In hybrid perovskites, the organic molecules and inorganic frameworks exhibit distinct static and dynamic characteristics. Their coupling will lead to unprecedented phenomena, which have attracted wide research interests. In this paper, we employed D
Externí odkaz:
http://arxiv.org/abs/2209.12445
Machine learning assisted modeling of the inter-atomic potential energy surface (PES) is revolutionizing the field of molecular simulation. With the accumulation of high-quality electronic structure data, a model that can be pretrained on all availab
Externí odkaz:
http://arxiv.org/abs/2208.08236
Publikováno v:
In Acta Materialia 15 October 2024 279
Publikováno v:
In Acta Materialia 1 September 2024 276