NSO目次 | 2024年第2期(“人工智能赋能化学科学”专题)

学术   科技   2024-05-09 14:16   北京  

《国家科学进展》2024年第2期已上线,敬请收阅!


所有文章可以免费下载
https://www.sciengine.com/NSO/issue
https://www.nso-journal.org/articles/nso/abs/2024/02/contents/contents.html
扫描二维码或点击“阅读原文”免费获取全文







Special Topic: AI for Chemistry

专题特邀编辑:王珊珊,张锦

Chemistry

Guest Editorial

Artificial intelligence is empowering chemistry research

Shanshan Wang (王珊珊), Jin Zhang(张锦)

2024, 3(2), 20240008

https://doi.org/10.1360/nso/20240008
Review

Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence

Chengchun Liu, Yuntian Chen(陈云天), Fanyang Mo(莫凡洋)

2024, 3(2), 20230037

https://doi.org/10.1360/nso/20230037

Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in lithium battery

Yawei Chen, Yue Liu, Zixu He, Liang Xu, Peiping Yu, Qintao Sun, Wanxia Li, Yulin Jie, Ruiguo Cao, Tao Cheng(程涛), Shuhong Jiao(焦淑红)

2024, 3(2), 20230039

https://doi.org/10.1360/nso/20230039

Research Article

Semantic knowledge graph as a companion for catalyst recommendation

Zhiying Zhang, Shengming Ma, Shisheng Zheng, Zhiwei Nie, Bingxu Wang, Kai Lei(雷凯), Shunning Li(李舜宁), Feng Pan(潘锋)

2024, 3(2), 20230040

https://doi.org/10.1360/nso/20230040

MBenes-supported single-atom catalysts for oxygen reduction and oxygen evolution reactions by first-principles study and machine learning

Erpeng Wang, Guanjie Wang, Jian Zhou(周健), Zhimei Sun(孙志梅)

2024, 3(2), 20230043

https://doi.org/10.1360/nso/20230043

A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites

Lingjie Yu, Chao Zhi, Zhiyuan Sun, Hao Guo, Jianglong Chen, Hanrui Dong, Mengqiu Zhu, Xiaonan Wang(王笑楠)

2024, 3(2), 20230055

https://doi.org/10.1360/nso/20230055

Synergistic application of molecular docking and machine learning for improved binding pose

Yaqi Li, Hongrui Lin, He Yang, Yannan Yuan, Rongfeng Zou, Gengmo Zhou, Linfeng Zhang(张林峰), Hang Zheng(郑行)

2024, 3(2), 20230058

https://doi.org/10.1360/nso/20230058

Constructing machine learning potential for metal nanoparticles of varying sizes via basin-hoping Monte Carlo and active learning

Fu-Qiang Gong, Ke Xiong, Jun Cheng(程俊)

2024, 3(2), 20230088

https://doi.org/10.1360/nso/20230088


RESEARCH ARTICLE

Earth and Environmental Sciences
Future climate change decreases multi-pathway but increases respiratory human health risks of PAHs across China
Jiaao Bao, Xinghui Xia, Ying Zhu, Bingxiang Zhao, Erxue Gu, Yanan Liu, Xiao Yun, Zhenrui Zhang, Nannan Xi, Yong Geng, Ying Xu, Zhifeng Yang & Derek C. G. Muir
2024, 3(2), 20230010
https://doi.org/10.1360/nso/20230010

点击“阅读原文免费获取全文


National Science Open(《国家科学进展》,简称NSO)是中国科学院主管、科学出版社主办、《中国科学》杂志社与EDP Sciences共同出版的综合性英文学术期刊,为National Science Review(《国家科学评论》,简称NSR)的姊妹刊,入选中国科技期刊卓越行动计划2020年高起点新刊项目。


NSO于2022年7月创刊,现为双月刊,致力于全面、快速地报道自然科学领域的重要研究进展,推动学术创新,特别是交叉领域的学科发展,目标是成为开放获取出版模式的综合性大刊。学科范围涵盖物理科学、化学科学、生命与医学、地球与环境、材料科学、信息科学、工程技术等,由张跃院士担任主编(兼材料科学执行主编),汪卫华、张锦、孟安明、倪晋仁、杨德仁、何雅玲6位院士分别担任各学科执行主编。文章类型包括研究论文、综述、专题、展望、评论、社论等。目前已被DOAJCabells Journalytics等数据库收录。


期刊网址:https://www.nso-journal.org;https://www.sci‍e‍ngine.com/NSO

投稿地址:https://mc03.manuscriptcentral.com/nsopen

编辑部联系方式:nso@scichina.org


EDP Sciences官方网站:www.edpsciences.org/



由于微信平台算法调整,公号内容将不再以时间排序展示,如果大家想第一时间看到我们的推送,强烈建议星标我们。具体步骤为:

(1)点击页面最上方“EDP Sciences 出版社”,进入公众号主页

(2)点击右上角的小点点,在弹出页面点击“设为星标”,就可以啦!



  



你的好友“EDP喵~”拍了拍你,并请你帮她点个分享!


EDP Sciences
EDP Sciences于1920年由诺奖获得者居里夫人、德布罗意等世界杰出科学家在巴黎创立,是一家享有盛誉的欧洲学术出版机构;2019年被中科院所属科学出版社全资收购,携手向全球科学界提供优质出版服务。深厚的学术底蕴与百年历史,值得关注。
 最新文章