Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Michael L. Mavrovouniotis"'
Publikováno v:
1997 Annual Conference Proceedings.
Autor:
Michael L. Mavrovouniotis
Publikováno v:
1997 Annual Conference Proceedings.
Publikováno v:
1996 Annual Conference Proceedings.
Autor:
Michael L. Mavrovouniotis
Publikováno v:
1996 Annual Conference Proceedings.
Publikováno v:
Chemical Engineering Communications. 176:115-131
In this article, we present a model order reduction method based on time-scale analysis for chemical reaction systems. The method can be applied to any reaction system exhibiting multiple time scales and described by the set or differential equations
Publikováno v:
The Journal of Chemical Physics. 111:2210-2221
A method to efficiently simulate diffusion and reaction in a single-file system is presented. By considering all possible configurations of M species in a length N one-dimensional pore, a deterministic model consisting of (M+1)N variables can be cons
Publikováno v:
Knowledge-Based Systems. 10:199-211
A computer language for defining types of chemical reactions is presented; reaction descriptions are compiled and executed, generating the specific reactions in chemical systems. The language includes commands for pruning the reaction network. Reacti
Publikováno v:
Fluid Phase Equilibria. 137:111-119
A modification of the UNIFAC method is proposed, reducing the set of groups to individual atoms. The effects of the environment of each atom are captured by the conjugation operators in which it participates, based on the ABC property estimation appr
Autor:
Michael L. Mavrovouniotis
Publikováno v:
Artificial Intelligence in Engineering. 11:121-134
We present a new framework for the representation of qualitative knowledge and in particular order-of-magnitude relations. The framework is based on the assignment of beliefs to intervals. Generic techniques are proposed for the manipulation of basic
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 36:17-30
Current methods for analyzing dynamic measurements from chemical processes and instruments often rely on fitting parametric models to the measured data; the methods assume a predetermined mathematical function for the measurement signal. Principal co