Management and application of research data in condensed matter science-Reference-Cited by-同舟云学术

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Management and application of research data in condensed matter science

Published:2024-02-01 Issue: Volume: Page:
ISSN:0023-074X
Container-title:Chinese Science Bulletin
language:en
Short-container-title:Chin. Sci. Bull.

Author:

Wang Dang,Zhou Mingbo,Huang Dongchen,Li Yunlong,Lin Zefeng,Liu Junde,Zhu Tiannian,Zhu Yun,Li Mingxing,Xiao Ruijuan,Yuan Jie,Weng Hongming

Publisher

Science China Press., Co. Ltd.

Subject

Multidisciplinary

Link

https://engine.scichina.com/doi/pdf/9136C9359DBB4EEAA03832C2F7097718

Reference63 articles.

1. Ginsberg J, Mohebbi M H, Patel R S. Detecting influenza epidemics using search engine query data. Nature, 2009, 457: 1012-1014.

2. Abdella J A, Zaki N M, Shuaib K, et al. Airline ticket price and demand prediction: A survey. J King Saud Univ Sci, 2021, 33: 375–391.

3. Van Dijck J. Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveill Soc, 2014, 12: 197-208.

4. Prakash A, Sandfeld S. Chances and challenges in fusing data science with materials science. Prakt Metallogr-Pract Metallogr, 2018, 55: 493-514.

5. Hu X F, He X Y, Xu X L. Challenges and reflections on modeling and simulation in the era of Big Data (in Chinese). Sci Sin Inform, 2014, 44: 676–692 [胡晓峰, 贺筱媛, 徐旭林. 大数据时代对建模仿真的挑战与思考. 中国科学: 信息科学, 2014, 44: 676–692].

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1. ESM Cloud Toolkit: A Copilot for Energy Storage Material Research;Chinese Physics Letters;2024-05-01

2. Strengthen the governance and utilization of scientific data, and enhance the efficiency of scientific data-driven innovation and development;Chinese Science Bulletin;2024-03-01

3. Artificial intelligence and data-driven computational simulation;SCIENTIA SINICA Physica, Mechanica & Astronomica;2024-01-01

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