An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels

dc.contributor.author	Tran, Anh
dc.contributor.author	He, Lijuan
dc.contributor.author	Wang, Yan
dc.date.accessioned	2019-02-28T11:05:52Z
dc.date.available	2019-02-28T11:05:52Z
dc.date.copyright	9/7/2017 12:00:00 AM
dc.date.issued	2018
dc.identifier.issn	2332-9017
dc.identifier.other	risk_004_01_011006.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4252642
dc.publisher	The American Society of Mechanical Engineers (ASME)
dc.title	An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels
dc.type	Journal Paper
dc.journal.volume	4
dc.journal.issue	1
dc.journal.title	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
dc.identifier.doi	10.1115/1.4037459
dc.journal.fristpage	11006
dc.journal.lastpage	011006-8;Searching for local minima, saddle points, and minimum energy paths (MEPs) on the potential energy surface (PES) is challenging in computational materials science because of the complexity of PES in high-dimensional space and the numerical approx
dc.tree	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001
dc.contenttype	Fulltext