Mathematica and SystemModeler include thousands of built-in functions that let you:

• Solve coupled nonlinear differential equations for chemical kinetic modeling and applications in transport phenomena
• Design and optimize unit operations such as distillation and adsorption processes in a chemical plant
• Develop thermodynamic models to predict vapor-liquid equilibria of non-ideal mixtures
• Compute Laplace transformations for process control applications
• Determine the numerical solution of transport equations, advanced heat and mass transfer problems, and other transport phenomena applications
• Perform economic viability analysis for chemical plant design using built-in economic, financial, geographic, and demographic data

Does your current tool set have these advantages?

• Instantly create dynamic interfaces that allow you to vary parameters and gain useful insights from data, a feature especially useful for reaction engineering/kinetics, process design, and transport phenomena
  Instant creation of interactive interfaces is not possible in other software
• Built-in, powerful statistical analysis and optimization routines for analyzing large amounts of data from experiments
  Matlab requires extra-cost toolbox to perform statistical analysis
• Sophisticated typesetting for chemical and mathematical equations, standard word processing, and interactive applications in a single document
  Not available in other software
• Integrated automatic report generation to document tasks you perform in Mathematica and instantly generate reports with graphics, text, and code
  Matlab requires purchase of extra toolbox; Sage, Octave, and other freeware do not support automatic report generation
• Automated precision control and arbitrary precision numerics produce highly accurate results
  Fortran, Excel, Matlab, and other systems relying on finite precision numerics can create serious errors due to lack of precision
• Advanced string and pattern matching and sequence alignment capabilities for biochemical applications
  Matlab requires purchase of toolbox
• Built-in parallel computing capabilities for solving computation- or data-intensive problems on multicore computers
  Matlab requires purchase of extra toolbox for parallel computing; all other major software systems require extensive programming to parallelize processes
• Seamless integration of numerics, symbolics, interactive graphics, and all other computational aspects in one document
  Not possible in other software