"Athena is a compact and complete software designed with an engineering mindset that lets the user spend less time solving the statistical problem and more time solving the engineering problem."
Aditya Bhan, Ph.D. - Associate Professor
Director of Graduate Studies in Chemical Engineering
Department of Chemical Engineering & Materials Science
University of Minnesota
“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
“Athena Visual Studio combines strong and efficient numerical solvers with straightforward syntax coding and GUI. This allows also non-experts to solve complex chemical engineering problems. I am a happy user of the package for both consultancy and teaching since almost 20 years.”
Rob Berger - Consultant in Catalysis & Reactor Engineering and Reaction Kinetics
"Athena Visual studio plays a critical role in my research group's efforts to quantify the kinetics of heterogeneous catalytic reactions, by providing reliable tools for parameter estimation, error analysis, and optimal experimental design."
Rajamani Gounder, Ph.D. - Larry and Virginia Faith Assistant Professor
Davidson School of Chemical Engineering
Purdue University
"More than a decade ago, Dow selected Athena Visual Studio to replace our internally developed modeling and parameter estimation tool. Based on our assessment, Athena was and is the best tool for chemical reaction engineers developing models of reaction kinetics with parameters fit to experimental data."
