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NSR集锦｜信息领域文章 (2016-2017)
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《国家科学评论》（National Science Review, NSR）是我国第一份英文版自然科学综述性学术期刊，报道范围涵盖数理科学、化学科学、生命科学、地球科学、材料科学、信息科学等六大领域。基于科睿唯安发布的2016年度的期刊引证报告（Journal Citation Reports，JCR），NSR的最新影响因子达到8.843，稳居全球多学科综合类期刊的第五名（8%，Q1）。NSR发表的所有论文全文可以在线免费阅读和下载：https://academic.oup.com/nsr/issue REVIEWS 1. Big Learning with Bayesian methods Jun Zhu, Jianfei Chen, Wenbo Hu and Bo Zhang Natl Sci Rev 4(4), 627-651 (2017). https://doi.org/10.1093/nsr/nwx044 2. Colloidal quantum dots surface and device structure engineering for high performance light emitting diodes Yuequn Shang and Zhijun Ning Natl Sci Rev 4(2), 170-183 (2017). https://doi.org/10.1093/nsr/nww097 3. Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data Yong Wang, Rui Jiang and Wing Hung Wong Natl Sci Rev 3(2), 240-251 (2016). https://doi.org/10.1093/nsr/nww025 4. Applying high-performance computing in drug discovery and molecular simulation Tingting Liu, Dong Lu, Hao Zhang, Mingyue Zheng, Huaiyu Yang, Yechun Xu, ChengLuo, Weiliang Zhu, Kunqian Yu and Hualiang Jiang Natl Sci Rev 3(1), 49-63 (2016). https://doi.org/10.1093/nsr/nww003 5. High-performance computing environment: a review of twenty years of experiments in China Zhiwei Xu, Xuebin Chi and Nong Xiao Natl Sci Rev 3(1), 36-48 (2016). https://doi.org/10.1093/nsr/nww001 PERSPECTIVES 1. A new metric for ranking high-performance computing systems Jack Dongarra, Michael A. Heroux and Piotr Luszczek Natl Sci Rev 3(1), 30-35 (2016). https://doi.org/10.1093/nsr/nwv084 2. High-performance programming frameworks for numerical simulation Zeyao Mo Natl Sci Rev 3(1), 28-29 (2016). https://doi.org/10.1093/nsr/nwv086 3. Algorithm development for extreme-scale computing Jiachang Sun, Chao Yang and Xiao-Chuan Cai Natl Sci Rev 3(1), 26-27 (2016). https://doi.org/10.1093/nsr/nwv088 4. Low-power technologies in high-performance computer: trends and perspectives Xianghui Xie Natl Sci Rev 3(1), 23-25 (2016). https://doi.org/10.1093/nsr/nwv087 5. Extreme-scale computer architecture Josep Torrellas Natl Sci Rev 3(1), 19-23 (2016). https://doi.org/10.1093/nsr/nwv085 |
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