Detail-preserving smoke simulation using an efficient high-order numerical scheme

doi:10.1007/s11432-018-9889-8

UM > Faculty of Science and Technology

Residential College	false
Status	已發表Published
	Detail-preserving smoke simulation using an efficient high-order numerical scheme
	Zhu, Jian 1; Yang, Zhuo 1; Sun, Hanqiu 4; Wu, Enhua2,3 ; Cai, Ruichu 1; Hao, Zhifeng 1,5
	2019-08-27
Source Publication	Science China-Information Sciences
ISSN	1674-733X
Volume	63 Issue:6
DOI	10.1007/s11432-018-9889-8
URL	View the original
Indexed By	SCIE
Language	英語English
WOS Research Area	Computer Science ; Engineering
WOS Subject	Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS ID	WOS:000503763900001
Scopus ID	2-s2.0-85071557312
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Journal article
Collection	Faculty of Science and Technology DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Yang, Zhuo
Affiliation	1.School of Computer Science, Guangdong University of Technology, Guangzhou, 510006, China 2.State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China 3.Faculty of Science and Technology, University of Macau, 999078, Macao 4.Institute of Space and Earth Info. Science, the Chinese University of Hong Kong, 999077, Hong Kong 5.School of Mathematics and Big Data, Foshan University, Foshan, 528000, China
Recommended Citation GB/T 7714	Zhu, Jian,Yang, Zhuo,Sun, Hanqiu,et al. Detail-preserving smoke simulation using an efficient high-order numerical scheme[J]. Science China-Information Sciences, 2019, 63(6).
APA	Zhu, Jian., Yang, Zhuo., Sun, Hanqiu., Wu, Enhua., Cai, Ruichu., & Hao, Zhifeng (2019). Detail-preserving smoke simulation using an efficient high-order numerical scheme. Science China-Information Sciences, 63(6).
MLA	Zhu, Jian,et al."Detail-preserving smoke simulation using an efficient high-order numerical scheme".Science China-Information Sciences 63.6(2019).

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh