Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Kong Xiangzhe"'
Publikováno v:
Open Engineering, Vol 8, Iss 1, Pp 243-260 (2018)
Monolithic UMo fuels have a higher uranium density than previously developed fuels. They have become the most promising fuels to be used in high-flux research and test reactors after the US Office of Material Management and Minimization Reactor Conve
Externí odkaz:
https://doaj.org/article/11bb4edf295347bda95fd3753b39a90d
Autor:
Han, Jiaqi, Cen, Jiacheng, Wu, Liming, Li, Zongzhao, Kong, Xiangzhe, Jiao, Rui, Yu, Ziyang, Xu, Tingyang, Wu, Fandi, Wang, Zihe, Xu, Hongteng, Wei, Zhewei, Liu, Yang, Rong, Yu, Huang, Wenbing
Geometric graph is a special kind of graph with geometric features, which is vital to model many scientific problems. Unlike generic graphs, geometric graphs often exhibit physical symmetries of translations, rotations, and reflections, making them i
Externí odkaz:
http://arxiv.org/abs/2403.00485
Peptide design plays a pivotal role in therapeutics, allowing brand new possibility to leverage target binding sites that are previously undruggable. Most existing methods are either inefficient or only concerned with the target-agnostic design of 1D
Externí odkaz:
http://arxiv.org/abs/2402.13555
Pretraining on a large number of unlabeled 3D molecules has showcased superiority in various scientific applications. However, prior efforts typically focus on pretraining models on a specific domain, either proteins or small molecules, missing the o
Externí odkaz:
http://arxiv.org/abs/2402.12714
Many processes in biology and drug discovery involve various 3D interactions between molecules, such as protein and protein, protein and small molecule, etc. Given that different molecules are usually represented in different granularity, existing me
Externí odkaz:
http://arxiv.org/abs/2306.01474
Antibody design is an essential yet challenging task in various domains like therapeutics and biology. There are two major defects in current learning-based methods: 1) tackling only a certain subtask of the whole antibody design pipeline, making the
Externí odkaz:
http://arxiv.org/abs/2302.00203
Antibody design is valuable for therapeutic usage and biological research. Existing deep-learning-based methods encounter several key issues: 1) incomplete context for Complementarity-Determining Regions (CDRs) generation; 2) incapability of capturin
Externí odkaz:
http://arxiv.org/abs/2208.06073
Molecule generation is central to a variety of applications. Current attention has been paid to approaching the generation task as subgraph prediction and assembling. Nevertheless, these methods usually rely on hand-crafted or external subgraph const
Externí odkaz:
http://arxiv.org/abs/2106.15098
Current storytelling systems focus more ongenerating stories with coherent plots regard-less of the narration style, which is impor-tant for controllable text generation. There-fore, we propose a new task, stylized story gen-eration, namely generatin
Externí odkaz:
http://arxiv.org/abs/2105.08625
Publikováno v:
In Journal of Nuclear Materials July 2022 565