Computational Science Application Support

Computational Science is a rapidly growing multidisciplinary  field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The focus here remains on C and how C can be used in finance / C and for SQL in database for Finance / database.

The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation.

This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.

Computational science typically unifies three distinct elements:

• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous);
• Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems;
• Computer and information science that develops and optimizes the advanced system hardware, software, networking and data management components (e.g. problem solving environments).

Configuration of our Research University Selection tool:

  1. Top Eight research areas in Top 40 Universities. 
  2. Top 200 professors working in the areas.
  3. Ranking of Research area based on Companies and Job market.
  4. Top 10 Areas where most research is published in last 1 year.

To gather the above inputs for the UST we have used the below links.

Energy tech:



University lists:

Computational NanoTech / Nano Electronics

FSU computation:

University List:

University of Kentucky,




Cheapest is Cincinati:



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