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Kintecus 3.90

The Kintecus simulation software has been cited in

Any Linux Distribution/95/98/Me/NT/2000/XPPlatform :
Shareware; $59.95License :
8.9 MBFile Size :
Soon to be addedScreenshot :
Not SpecifiedSystem requirements :
Vast Technologies Development, Inc.Publisher :
Kintecus 3.90 Publisher's description

The Kintecus simulation software has been cited in many peer reviewed journals: J. Phys. Chem.A, PCCP, J. Biol. Chem., Plas. Chem. Plas. Proc., Int. J. Chem. React. Tech, Arch. Bio. Chem. Bio. Phys., THEOCHEM, etc. It is an Industrial Strength/Research Grade chemical modeling, chemical kinetics and equilibrium software for simulation of combustion, nuclear, biological, enzyme, atmospheric and many other processes via a graphical interface. Kintecus features the ability to quickly run Chemkin models. Multiple Chemkin/freestyle thermodynamic databases can be used. Isothermal/Non-isothermal, adiabatic constant volume, constant pressure (variable volume) can easily be modeled with a flick of a switch. Programmed volume (replicating engine piston motion), programmed temperature, programmed species concentration can all easily be included in your model WITHOUT C/FORTRAN programming. Heterogeneous chemistry is also easily modeled. Kintecus has the ability to fit/optimize rate constants, initial concentrations, Lindemann/Troe/SRI/LT parameters, enhanced third body factors, initial temperature, residence time, energy of activation and many other parameters against your dataset(s). Note that Kintecus will actually fit the parameters at EXACTLY the time your data was measured with confidence bands/uncertainty analysis. Unlike other programs, Kintecus DOES NOT interpolate a function against your data and then fit the values against this interpolation. There is no need to “clean” your data, suggest interpolation methods nor specify timing meshes against your experimental data since Kintecus calculates values at exactly the times you specify in your experimental datafile .Can also scan parameters and bootstrap standard errors as well as perform metabolic control analysis via eigenvector/eigenvalue analysis. Can also perform complex hierarchical cluster analysis on temporal concentration profiles with/without experimentally obtained temporal concentration profiles.


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