“Athena Visual Studio is a powerful yet convenient tool for Chemical Engineering practitioners to use for the development of Differential and Algebraic Equation (DAE) models for simulation purpose. Additionally, built upon classical theoretical foundation laid out by the late Professor Warren Stewart at the University of Wisconsin, Athena Visual Studio provides the most robust parameter estimation toolbox, GREGPLUS, that the user has ever used to estimate parameters using experimental data in my industrial practice. I strongly recommend this tool to anyone who has the need to develop models and conduct parameter estimation in chemical industry."
Min Zhang - Axalta Coating Systems
Eighteen years ago, I started to use Athena for developing a sophisticated methodology of multi-parameter estimation for the characterization of the pore structure of catalyst carriers. Since then, Athena has been a valuable tool for our research concerning, among others, the migration of pollutants in subsurface and study of advanced methods of soil and groundwater remediation. It’s worth mentioning the extensive use of Athena for the multi-scale numerical simulation of multiphase transport and reactive processes in porous media, and inverse modeling of datasets from relevant laboratory experiments.
Christos Tsakiroglou, Ph.D. - Research Director
"Fast and versatile. Athena lets us carry out complex mathematical and chemical analyses with ease. The standout features are the parameter estimation and the excel link"
Siddarth Sitamraju, PhD - Sr. Modeling Scientist
"Athena enables Dow to export models to our flow sheet simulation software or to call modules of that software from within the Athena environment seamlessly, enabling easy technology transfer from lab to plant. The FORTRAN platform of Athena also enables us to access our proprietary physical properties database."
Paul Witt, Ph.D. - Associate Director
Engineering & Process Science, Core R&D
The Dow Chemical Company
"We use Athena to derive fundamental models for complex gas-solid reactions from experimental data. The statistical analysis features are user-friendly and are a critical research tool for discriminating which models best describe the data."