A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications

doi:10.1016/j.apgeochem.2022.105273

CORC > 力学研究所 > 中国科学院力学研究所 > 高温气体动力学国家重点实验室

	A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications
	He, Yuyang 9,10; Zhou, You 7,8; Wen, Tao 6; Zhang, Shuang 5; Huang, Fang 4; Zou, Xinyu 3; Ma, Xiaogang 2; Zhu, Yueqin 1
刊名	APPLIED GEOCHEMISTRY
	2022-05-01
卷号	140 页码:13
关键词	LIBS XAFS Mapping Water soil prediction Molecular machine learning Reactive-transport modeling
ISSN号	0883-2927
DOI	10.1016/j.apgeochem.2022.105273
通讯作者	He, Yuyang(yhe@mail.iggcas.ac.cn)
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.
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
WOS研究方向	Geochemistry & Geophysics
语种	英语
WOS记录号	WOS:000799841900004
资助机构	National Science Foundation of China (NSFC) ; China Postdoctoral Science Foundation ; pre-research project on Civil Aerospace Technologies of China National Space Administration ; NSFC ; Earth Science Information Partners Lab Grant ; NSFC project ; U.S. National Science Foundation (NSF)
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/89573]
专题	力学研究所_高温气体动力学国家重点实验室
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.Univ Idaho, Comp Sci Dept, 875 Perimeter Dr, MS 1010, Moscow, ID 83844 USA 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China 4.CSIRO Mineral Resources, Kensington, WA 6151, Australia 5.Texas A&M Univ, Dept Oceanog, College Stn, TX 77843 USA 6.Syracuse Univ, Dept Earth & Environm Sci, Syracuse, NY 13244 USA 7.CAS Ctr Excellence Comparat Planetol, Hefei 230026, Peoples R China 8.Chengdu Univ Technol, Coll Earth Sci, Int Res Ctr Planetary Sci, 61005, Chengdu, Peoples R China 9.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China 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.