Parameter Identification for Chemical Reaction Systems Using Sparsity Enforcing Regularization: A Case Study for the Chlorite−Iodide Reaction-Reference-Cited by-同舟云学术

Parameter Identification for Chemical Reaction Systems Using Sparsity Enforcing Regularization: A Case Study for the Chlorite−Iodide Reaction

Published:2009-02-25 Issue:12 Volume:113 Page:2775-2785
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Kügler Philipp¹,Gaubitzer Erwin¹,Müller Stefan¹

Affiliation:

1. Industrial Mathematics Institute, University of Linz, Altenbergerstrasse 69, 4040 Linz, Austria, Max F. Perutz Laboratories, University of Vienna, Dr. Bohr-Gasse 9, 1030 Vienna, Austria, and RICAM, Altenbergerstrasse 69, 4040 Linz, Austria

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/jp808792u

Reference21 articles.

1. Chlorite-iodide reaction: a versatile system for the study of nonlinear dynamic behavior

2. Rate Constants for Reactions between Iodine- and Chlorine-Containing Species: A Detailed Mechanism of the Chlorine Dioxide/Chlorite-Iodide Reaction

3. Inherent Pitfalls in the Simplified Evaluation of Kinetic Curves

4. Bonner Mathematische Schriften 183;Bock H.-G.,1987

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization;Computers & Mathematics with Applications;2024-08

2. A tutorial on the Bayesian statistical approach to inverse problems;APL Machine Learning;2023-11-06

3. Identification of Reaction Rate Parameters from Uncertain Spatially Distributed Concentration Data Using Gradient-Based Pde Constrained Optimization;2023

4. Regularization and concave loss functions for estimation of chemical kinetic models;Applied Soft Computing;2022-02

5. Synthetic spatial patterning in bacteria: advances based on novel diffusible signals;Microbial Biotechnology;2021-11-29