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  2. 地质与地球物理研究所
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  4. 中国科学院地球与行星物理重点实验室
A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications

文献类型：期刊论文

作者He, Yuyang2,10; Zhou, You3,4; Wen, Tao5; Zhang, Shuang6; Huang, Fang7; Zou, Xinyu8; Ma, Xiaogang9; Zhu, Yueqin1
刊名APPLIED GEOCHEMISTRY
出版日期2022-05-01
卷号140页码:13
ISSN号0883-2927
关键词LIBS XAFS Mapping Water soil prediction Molecular machine learning Reactive-transport modeling
DOI10.1016/j.apgeochem.2022.105273
英文摘要The development of analytical and computational techniques and growing scientific funds collectively contribute to the rapid accumulation of geoscience data. The massive amount of existing data, the increasing complexity, and the rapid acquisition rates require novel approaches to efficiently discover scientific stories embedded in the data related to geochemistry and cosmochemistry. Machine learning methods can discover and describe the hidden patterns in intricate geochemical and cosmochemical big data. In recent years, considerable efforts have been devoted to the applications of machine learning methods in geochemistry and cosmochemistry. Here, we review the main applications including rock and sediment identification, digital mapping, water and soil quality prediction, and deep space exploration. Research method improvements, such as spectroscopy interpretation, numerical modeling, and molecular machine learning, are also discussed. Based on the up-to-date machine learning/deep learning techniques, we foresee the vast opportunities of implementing artificial intelligence and developing databases in geochemistry and cosmochemistry studies, as well as communicating geochemists/ cosmochemists and data scientists.
WOS关键词INDUCED BREAKDOWN SPECTROSCOPY ; REACTIVE TRANSPORT MODELS ; UNDISCOVERED MINERAL-DEPOSITS ; ARTIFICIAL NEURAL-NETWORKS ; SUPPORT VECTOR MACHINE ; RANDOM FOREST ; CENTRAL VALLEY ; WATER-QUALITY ; THEORETICAL CALCULATION ; ISOTOPE FRACTIONATIONS
资助项目National Science Foundation of China (NSFC)[42150202] ; National Science Foundation of China (NSFC)[4217030170] ; China Postdoctoral Science Foundation[2019M660811] ; pre-research project on Civil Aerospace Technologies of China National Space Administration[D020203] ; NSFC[41973063] ; NSFC[42011530431] ; Earth Science Information Partners Lab Grant[05088] ; NSFC project[42003021] ; NSFC project[2126315] ; U.S. National Science Foundation (NSF)[41872253]
WOS研究方向Geochemistry & Geophysics
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000799841900004
资助机构National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; NSFC ; NSFC ; NSFC ; NSFC ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; NSFC project ; NSFC project ; NSFC project ; NSFC project ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; NSFC ; NSFC ; NSFC ; NSFC ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; NSFC project ; NSFC project ; NSFC project ; NSFC project ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; NSFC ; NSFC ; NSFC ; NSFC ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; NSFC project ; NSFC project ; NSFC project ; NSFC project ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; National Science Foundation of China (NSFC) ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; NSFC ; NSFC ; NSFC ; NSFC ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; Earth Science Information Partners Lab Grant ; NSFC project ; NSFC project ; NSFC project ; NSFC project ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF) ; U.S. National Science Foundation (NSF)
源URL[http://ir.iggcas.ac.cn/handle/132A11/106026]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者He, Yuyang
作者单位1.Minist Emergency Management Peoples Republ China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
2.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China
3.Chengdu Univ Technol, Coll Earth Sci, Int Res Ctr Planetary Sci, 61005, Chengdu, Peoples R China
4.CAS Ctr Excellence Comparat Planetol, Hefei 230026, Peoples R China
5.Syracuse Univ, Dept Earth & Environm Sci, Syracuse, NY 13244 USA
6.Texas A&M Univ, Dept Oceanog, College Stn, TX 77843 USA
7.CSIRO Mineral Resources, Kensington, WA 6151, Australia
8.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China
9.Univ Idaho, Comp Sci Dept, 875 Perimeter Dr, MS 1010, Moscow, ID 83844 USA
10.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 He, Yuyang,Zhou, You,Wen, Tao,et al. A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications[J]. APPLIED GEOCHEMISTRY,2022,140:13.
APA He, Yuyang.,Zhou, You.,Wen, Tao.,Zhang, Shuang.,Huang, Fang.,...&Zhu, Yueqin.(2022).A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications.APPLIED GEOCHEMISTRY,140,13.
MLA He, Yuyang,et al."A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications".APPLIED GEOCHEMISTRY 140(2022):13.

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来源：地质与地球物理研究所

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