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contributor authorTran, Anh
contributor authorHe, Lijuan
contributor authorWang, Yan
date accessioned2019-02-28T11:05:52Z
date available2019-02-28T11:05:52Z
date copyright9/7/2017 12:00:00 AM
date issued2018
identifier issn2332-9017
identifier otherrisk_004_01_011006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252642
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels
typeJournal Paper
journal volume4
journal issue1
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
identifier doi10.1115/1.4037459
journal fristpage11006
journal lastpage011006-8;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
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:001
contenttypeFulltext


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