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Title: SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data

Authors:
 [1] ;  [1] ;  [1] ;  [2] ;  [1]
  1. Department of Chemistry, KAIST, Daejeon 34141, South Korea, Center for Nanomaterials and Chemical Reactions, Institute for Basic Science (IBS), Daejeon 34141, South Korea
  2. Department of Chemistry, Inha University, Incheon 22212, South Korea
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Publisher's Accepted Manuscript
Journal Name:
Structural Dynamics
Additional Journal Information:
Journal Name: Structural Dynamics Journal Volume: 4 Journal Issue: 4; Journal ID: ISSN 2329-7778
Publisher:
American Institute of Physics
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1361812

Oang, Key Young, Yang, Cheolhee, Muniyappan, Srinivasan, Kim, Jeongho, and Ihee, Hyotcherl. SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data. United States: N. p., Web. doi:10.1063/1.4979854.
Oang, Key Young, Yang, Cheolhee, Muniyappan, Srinivasan, Kim, Jeongho, & Ihee, Hyotcherl. SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data. United States. doi:10.1063/1.4979854.
Oang, Key Young, Yang, Cheolhee, Muniyappan, Srinivasan, Kim, Jeongho, and Ihee, Hyotcherl. 2017. "SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data". United States. doi:10.1063/1.4979854.
@article{osti_1361812,
title = {SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data},
author = {Oang, Key Young and Yang, Cheolhee and Muniyappan, Srinivasan and Kim, Jeongho and Ihee, Hyotcherl},
abstractNote = {},
doi = {10.1063/1.4979854},
journal = {Structural Dynamics},
number = 4,
volume = 4,
place = {United States},
year = {2017},
month = {7}
}