Open Access

The Innovation

, volume 2 , issue 4 , pages 100179

Artificial intelligence: A powerful paradigm for scientific research

Yongjun Xu ¹

Xin Liu ²

Xin Cao ³

Changping Huang ⁴

Enfeng Liu ⁵

Sen Qian ⁶

Xi Liu ⁷

YANJUN WU ²

Fengliang Dong ⁸

Cheng-Wei Qiu ⁹

JUN-JUN QIU ¹⁰

Ke-Qin Hua ¹⁰

Wentao Su ¹¹

Jian Wu ¹²

HUI-YU XU ¹³

Yong Pyo Han ¹⁴

Chenguang Fu ¹⁵

Zhigang Yin ¹⁶

Mingzhu Liu ⁵

Ronald Roepman ¹⁷

Sabine Dietmann ¹⁸

Marko Virta ¹⁹

Fredrick O. Kengara ²⁰

Ze Zhang ²¹

Lifu Zhang ^{21, 22}

Taolan Zhao ²³

Ji Dai ²

Jialiang Yang ²⁴

Liang Lan ²⁵

Ming Luo ²⁶

Zhaofeng Liu ^{27, 28}

Tao An ²⁹

Bin Zhang ⁷

Xiao He ⁶

SHAN CONG ³⁰

Xiao-hong Liu ³¹

Wei Guo Zhang ³¹

James Lewis ⁷

James M. Tiedje ³²

Qi Wang ²

An Zhulin ¹

Fei Wang ¹

Libo Zhang ²

Tao Huang ³³

Chuan Lu ³⁴

Zhipeng Cai ³⁵

Fang Wang ³⁶

Jiabao Zhang ³⁶

Hide authors affiliations Show authors affiliations: 36 affiliations

University of Chinese Academy of Sciences Beijing 100049 China |

University of Chinese Academy of sciences, Beijing 100049, China |

Zhongshan Hospital Institute of Clinical Science, Fudan University, Shanghai 200032, China |

⁴

University of Chinese Academy of Sciences, Beijing, 100049, China |

⁵

Institute of Physics Chinese Academy of Sciences Beijing 100190 China |

⁶

[Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China] |

⁷

Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001(China) |

⁸

University of Chinese Academy of Sciences Beijing 100049 China |

⁹

Department of Electrical and Computer Engineering , National University of Singapore , Singapore 117583 , Singapore |

¹⁰

Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai 200011, China |

¹¹

School of Food Science and Technology Dalian Polytechnic University Dalian 116034 China |

¹²

Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, Hangzhou 310058, China |

¹³

Department of Obstetrics & Gynecology,Peking University Third Hospital,Beijing 100191,China |

¹⁴

Zhejiang Provincial People’s Hospital, Hangzhou 310014, China |

¹⁵

School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China. |

¹⁶

Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002 China |

¹⁷

Medical Center, Radboud University, 6500 Nijmegen, the Netherlands |

¹⁸

Institute for Informatics, Washington University School of Medicine, St. Louis, MO 63110, USA |

¹⁹

Department of Microbiology, University of Helsinki, 00014 Helsinki, Finland |

²⁰

School of Pure and Applied Sciences, Bomet University College, Bomet 20400, Kenya |

²¹

Agriculture College of Shihezi University, Xinjiang 832000, China |

²²

Aerospace information research institute, Chinese Academy of Sciences, Beijing 100094, China |

²³

Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101,China. |

²⁴

Geneis (Beijing) Co., Ltd, Beijing 100102, China |

²⁵

Department of Communication Studies, Hong Kong Baptist University, Hong Kong, China. |

²⁶

South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China |

²⁷

University of Chinese Academy of Sciences |

²⁸

Beijing 100049 China |

²⁹

Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China |

³⁰

Suzhou Institute of Nano‐Tech & Nano‐Bionics, Chinese Academy of Sciences Suzhou 215123 China |

³¹

Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 China. |

³²

Center for Microbial Ecology, Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA |

³³

Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China. |

³⁴

Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion SY23 3FL, UK |

³⁵

Department of Computer Science, Georgia State University, Atlanta, GA, 30303 USA |

³⁶

University of Chinese Academy of Sciences,Beijing 100049,China |

Publication type: Journal Article

Publication date: 2021-11-01

Elsevier

The Innovation

scimago Q1

wos Q1

SJR: 8.218

CiteScore: 53.4

Impact factor: 25.7

ISSN: 26666758

DOI: 10.1016/j.xinn.2021.100179

Copy DOI

PubMed ID: 34877560

Multidisciplinary

Abstract

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the sustainable booming of AI. This paper undertakes a comprehensive survey on the development and application of AI in different aspects of fundamental sciences, including information science, mathematics, medical science, materials science, geoscience, life science, physics, and chemistry. The challenges that each discipline of science meets, and the potentials of AI techniques to handle these challenges, are discussed in detail. Moreover, we shed light on new research trends entailing the integration of AI into each scientific discipline. The aim of this paper is to provide a broad research guideline on fundamental sciences with potential infusion of AI, to help motivate researchers to deeply understand the state-of-the-art applications of AI-based fundamental sciences, and thereby to help promote the continuous development of these fundamental sciences.

Found

1 citation

Ashikhmina Mariia

PhD in Engineering

12 publications, 37 citations, 61 reviews

1 citation

Catur Firmanul

111 publications, 196 citations, 1 review

h-index: 8

State University of Jakarta

1 citation

I. Pius

8 publications, 74 citations

h-index: 4

Louisiana State University

1 citation

Harindintwali Jean Damascene

🥼 🤝

42 publications, 2 595 citations, 28 reviews

h-index: 18

University of Chinese Academy of Sciences

Research interests

Biotechnology

Microbiology

1 citation

Siluvai Sibyl

21 publications, 98 citations

h-index: 4

1 citation

Kabanda Mboneza

🥼 🤝

PhD in Education, lecturer

4 publications, 4 citations

h-index: 2

Research interests

Curriculum Mapping

Educational technology

1 citation

Kakraba Samuel

🥼 🤝

18 publications, 163 citations, 5 reviews

Inteligencia artificial

Mathematical modeling

Statistical modeling

1 citation

Raposo Rui

40 publications, 116 citations

h-index: 5

University of Aveiro

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853

Cite this

GOST |

Cite this

GOST Copy

Xu Y. et al. Artificial intelligence: A powerful paradigm for scientific research // The Innovation. 2021. Vol. 2. No. 4. p. 100179.

GOST all authors (up to 50) Copy

Xu Y., Liu X., Cao X., Huang C., Liu E., Qian S., Liu X., WU Y., Dong F., Qiu C., QIU J., Hua K., Su W., Wu J., XU H., Han Y. P., Fu C., Yin Z., Liu M., Roepman R., Dietmann S., Virta M., Kengara F. O., Zhang Z., Zhang L., Zhao T., Dai J., Yang J., Lan L., Luo M., Liu Z., An T., Zhang B., He X., CONG S., Liu X., Zhang W. G., Lewis J., Tiedje J. M., Wang Q., Zhulin A., Wang F., Zhang L., Huang T., Lu C., Cai Z., Wang F., Zhang J. Artificial intelligence: A powerful paradigm for scientific research // The Innovation. 2021. Vol. 2. No. 4. p. 100179.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1016/j.xinn.2021.100179

UR - https://doi.org/10.1016/j.xinn.2021.100179

TI - Artificial intelligence: A powerful paradigm for scientific research

T2 - The Innovation

AU - Xu, Yongjun

AU - Liu, Xin

AU - Cao, Xin

AU - Huang, Changping

AU - Liu, Enfeng

AU - Qian, Sen

AU - Liu, Xi

AU - WU, YANJUN

AU - Dong, Fengliang

AU - Qiu, Cheng-Wei

AU - QIU, JUN-JUN

AU - Hua, Ke-Qin

AU - Su, Wentao

AU - Wu, Jian

AU - XU, HUI-YU

AU - Han, Yong Pyo

AU - Fu, Chenguang

AU - Yin, Zhigang

AU - Liu, Mingzhu

AU - Roepman, Ronald

AU - Dietmann, Sabine

AU - Virta, Marko

AU - Kengara, Fredrick O.

AU - Zhang, Ze

AU - Zhang, Lifu

AU - Zhao, Taolan

AU - Dai, Ji

AU - Yang, Jialiang

AU - Lan, Liang

AU - Luo, Ming

AU - Liu, Zhaofeng

AU - An, Tao

AU - Zhang, Bin

AU - He, Xiao

AU - CONG, SHAN

AU - Liu, Xiao-hong

AU - Zhang, Wei Guo

AU - Lewis, James

AU - Tiedje, James M.

AU - Wang, Qi

AU - Zhulin, An

AU - Wang, Fei

AU - Zhang, Libo

AU - Huang, Tao

AU - Lu, Chuan

AU - Cai, Zhipeng

AU - Wang, Fang

AU - Zhang, Jiabao

PY - 2021

DA - 2021/11/01

PB - Elsevier

SP - 100179

IS - 4

VL - 2

PMID - 34877560

SN - 2666-6758

ER -

BibTex |

Cite this

BibTex (up to 50 authors) Copy

@article{2021_Xu,

author = {Yongjun Xu and Xin Liu and Xin Cao and Changping Huang and Enfeng Liu and Sen Qian and Xi Liu and YANJUN WU and Fengliang Dong and Cheng-Wei Qiu and JUN-JUN QIU and Ke-Qin Hua and Wentao Su and Jian Wu and HUI-YU XU and Yong Pyo Han and Chenguang Fu and Zhigang Yin and Mingzhu Liu and Ronald Roepman and Sabine Dietmann and Marko Virta and Fredrick O. Kengara and Ze Zhang and Lifu Zhang and Taolan Zhao and Ji Dai and Jialiang Yang and Liang Lan and Ming Luo and Zhaofeng Liu and Tao An and Bin Zhang and Xiao He and SHAN CONG and Xiao-hong Liu and Wei Guo Zhang and James Lewis and James M. Tiedje and Qi Wang and An Zhulin and Fei Wang and Libo Zhang and Tao Huang and Chuan Lu and Zhipeng Cai and Fang Wang and Jiabao Zhang},

title = {Artificial intelligence: A powerful paradigm for scientific research},

journal = {The Innovation},

year = {2021},

volume = {2},

publisher = {Elsevier},

month = {nov},

url = {https://doi.org/10.1016/j.xinn.2021.100179},

number = {4},

pages = {100179},

doi = {10.1016/j.xinn.2021.100179}

}

MLA

Cite this

MLA Copy

Xu, Yongjun, et al. “Artificial intelligence: A powerful paradigm for scientific research.” The Innovation, vol. 2, no. 4, Nov. 2021, p. 100179. https://doi.org/10.1016/j.xinn.2021.100179.

Publisher

Elsevier

Journal

The Innovation

scimago Q1

wos Q1

SJR

8.218

CiteScore

53.4

Impact factor

25.7

ISSN

26666758 (Print)