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Sensitivity analysis of complex kinetic systems. Tools and applications
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Citations
Cites
Chemical kinetic modeling of hydrocarbon combustion
Westbrook, C. K., & Dryer, F. L. (1984) · Progress in Energy and Combustion Science · doi:10.1016/0360-1285(84)90118-7 · Cited by 1,570
Chemical kinetics and dynamics
Steinfeld, J. I., Francisco, J. S., & Hase, W. L. (1989) · Cited by 1,418
Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory
Cukier, R. I., Fortuin, C. M., Shuler, K. E., Petschek, A. G., & Schaibly, J. H. (1973) · The Journal of Chemical Physics · doi:10.1063/1.1680571 · Cited by 1,046
Oscillations and traveling waves in chemical systems
Cruickshank, A. J. B. (1986) · Endeavour · doi:10.1016/0160-9327(86)90067-0 · Cited by 722
Nonlinear sensitivity analysis of multiparameter model systems
Cukier, R. I., Levine, H. B., & Shuler, K. E. (1978) · Journal of Computational Physics · doi:10.1016/0021-9991(78)90097-9 · Cited by 694
Introduction to System Sensitivity Theory
Frank, P. M., & Eslami, M. (1980) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1980.4308508 · Cited by 659
Sensitivity Analysis in Chemical Kinetics
Rabitz, H., Kramer, M., & Dacol, D. (1983) · Annual Review of Physical Chemistry · doi:10.1146/annurev.pc.34.100183.002223 · Cited by 536
Sensitivity analysis of initial value problems with mixed odes and algebraic equations
Caracotsios, M., & Stewart, W. E. (1985) · Computers & Chemical Engineering · doi:10.1016/0098-1354(85)85014-6 · Cited by 411
Sensitivity analysis of a chemical mechanism for aqueous‐phase atmospheric chemistry
Pandis, S. N., & Seinfeld, J. H. (1989) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd094id01p01105 · Cited by 401
Sensitivity theory for nonlinear systems. I. Nonlinear functional analysis approach
Cacuci, D. G. (1981) · Journal of Mathematical Physics · doi:10.1063/1.525186 · Cited by 388
Principal component analysis of kinetic models
Vajda, S., Valko, P., & Turányi, T. (1985) · International Journal of Chemical Kinetics · doi:10.1002/kin.550170107 · Cited by 359
Self-citationMcRae, G. J., Tilden, J. W., & Seinfeld, J. H. (1982) · Computers & Chemical Engineering · doi:10.1016/0098-1354(82)80003-3 · Cited by 320
The decoupled direct method for calculating sensitivity coefficients in chemical kinetics
Dunker, A. M. (1984) · The Journal of Chemical Physics · doi:10.1063/1.447938 · Cited by 298
Érdi, P., & Tóth, J. I. (1992) · Medical Entomology and Zoology · Cited by 286
Sensitivity analysis of ordinary differential equation systems—A direct method
Dickinson, R. P., & Gelinas, R. J. (1976) · Journal of Computational Physics · doi:10.1016/0021-9991(76)90007-3 · Cited by 272
Cukier, R. I., Schaibly, J. H., & Shuler, K. E. (1975) · The Journal of Chemical Physics · doi:10.1063/1.431440 · Cited by 267
Pilling, M. J. (1989) · Journal of Photochemistry and Photobiology A: Chemistry · doi:10.1016/1010-6030(89)87138-2 · Cited by 256
Schaibly, J. H., & Shuler, K. E. (1973) · The Journal of Chemical Physics · doi:10.1063/1.1680572 · Cited by 224
Sensitivity theory for nonlinear systems. II. Extensions to additional classes of responses
Cacuci, D. G. (1981) · Journal of Mathematical Physics · doi:10.1063/1.524870 · Cited by 221
The Green’s function method of sensitivity analysis in chemical kinetics
Hwang, J.-T., Dougherty, E. P., Rabitz, S., & Rabitz, H. (1978) · The Journal of Chemical Physics · doi:10.1063/1.436465 · Cited by 178
Systems Analysis at the Molecular Scale
RABITZ, H. A. (1989) · Science · doi:10.1126/science.246.4927.221 · Cited by 143
A general analysis of exact lumping in chemical kinetics
Li, G., & RABITZ, H. A. (1989) · Chemical Engineering Science · doi:10.1016/0009-2509(89)85014-6 · Cited by 141
Leis, J. R., & Kramer, M. A. (1988) · ACM Transactions on Mathematical Software · doi:10.1145/42288.46156 · Cited by 137
On the statistical sensitivity analysis of models for chemical kinetics
Atherton, R. W., Schainker, R. B., & Ducot, E. R. (1975) · AIChE Journal · doi:10.1002/aic.690210304 · Cited by 126
Automatic sensitivity analysis of kinetic mechanisms
Koda, M., McRae, G. J., & Seinfeld, J. H. (1979) · International Journal of Chemical Kinetics · doi:10.1002/kin.550110408 · Cited by 121
Dougherty, E. P., Hwang, J.-T., & RABITZ, H. A. (1979) · The Journal of Chemical Physics · doi:10.1063/1.438530 · Cited by 108
Leis, J. R., & Kramer, M. A. (1988) · ACM Transactions on Mathematical Software · doi:10.1145/42288.214371 · Cited by 107
Sensitivity analysis of systems of differential and algebraic equations
Leis, J. R., & Kramer, M. A. (1985) · Computers & Chemical Engineering · doi:10.1016/0098-1354(85)87008-3 · Cited by 73
An improved computational method for sensitivity analysis: Green's function method with ‘AIM’
Kramer, M. A. M., CALO, J. M., & RABITZ, H. A. (1981) · Applied Mathematical Modelling · doi:10.1016/s0307-904x(81)80027-3 · Cited by 73
Stochastic sensitivity analysis in chemical kinetics
Costanza, V., & Seinfeld, J. H. (1981) · The Journal of Chemical Physics · doi:10.1063/1.441615 · Cited by 44
Dunker, A. M. (1986) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(86)90088-0 · Cited by 40
Sensitivity analysis of stochastic kinetic models
Dacol, D. K., & RABITZ, H. A. (1984) · Journal of Mathematical Physics · doi:10.1063/1.526478 · Cited by 26
Dynamic sensitivity analysis of chemical reaction systems
Seigneur, C., Stephanopoulos, G., & CARR, R. W. J. (1982) · Chemical Engineering Science · doi:10.1016/0009-2509(82)80172-3 · Cited by 25
Marsden, A. R., Frenklach, M., & Reible, D. D. (1987) · JAPCA · doi:10.1080/08940630.1987.10466231 · Cited by 25
Global nonlinear sensitivity analysis using walsh functions
Pierce, T. H., & Cukier, R. I. (1981) · Journal of Computational Physics · doi:10.1016/0021-9991(81)90104-2 · Cited by 22
Generalized global sensitivity and correlation analysis
Kanatani, K. (1980) · Information and Control · doi:10.1016/s0019-9958(80)90270-3 · Cited by 3
Wulfman, C. E., & RABITZ, H. A. (1989) · Journal of Mathematical Chemistry · doi:10.1007/bf01169596 · Cited by 2
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Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems
Helton, J. C., & Davis, F. J. (2003) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(03)00058-9 · Cited by 2,688
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Model-based design of experiments for parameter precision: State of the art
Franceschini, G., & Macchietto, S. (2008) · Chemical Engineering Science · doi:10.1016/j.ces.2007.11.034 · Cited by 818
Dogu, O., Pelucchi, M., Van de Vijver, R., Van Steenberge, P. H. M., D'hooge, D. R., Cuoci, A., Mehl, M., Frassoldati, A., Faravelli, T., & Van Geem, K. M. (2021) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2020.100901 · Cited by 698
On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
Miao, H., Xia, X., Perelson, A. S., & Wu, H. (2011) · SIAM Review · doi:10.1137/090757009 · Cited by 610
Metadata
- Authors
- Tur�nyi, T.
- Venue
- Journal of Mathematical Chemistry
- Published
- 1990-09
- Volume
- 5
- Issue
- 3
- Pages
- 203-248
- ISSN
- 0259-9791 (ISSN-L)
- 1572-8897
- OpenAlex
- W19125392
- Cited by
- 572
- References
- 37
- FWCI
- 3.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.