CONVERGE Academic Program

Empowering Academia

The CONVERGE Academic Program empowers students, professors, and academic researchers globally to contribute to the advancement of science and technology. We offer exclusive license deals (free in the United States and Europe) for our industry-leading computational fluid dynamics software, CONVERGE, for academic research. In addition, we provide free support, training, and resources for our academic users.

At Convergent Science, we strongly believe in the societal value of academic research and the importance of educating the next generation of engineers, entrepreneurs, and innovators. We work with colleges and universities around the globe to support researchers in a diverse set of fields: automotive (including electromobility), aerospace, biomedical, renewable energy, and more. Skilled engineers in these fields have leveraged CONVERGE’s unique capabilities to study emissions from internal combustion engines, biofuels, lean blow-off in gas turbines, rotating detonation engines, pathogenic spread, atmospheric air pollution, wind farm design, blood pumps, and even climate conditions in poultry houses.

The benefits of the CONVERGE Academic Program extend to professors, educators, academic institutions, and industry at large. Because CONVERGE’s autonomous meshing significantly reduces the time needed to set up and run simulations, students and academic researchers are more productive, producing more compelling results and making exciting scientific and technological advances. In addition, our exclusive license deals mean you get the benefits of CONVERGE, along with our complimentary training and support, while spending less money.

Ultimately, the goal of the CONVERGE Academic Program is to help produce experienced, competent engineers who go on to contribute to industry and society. With the training and support offered to participants in our program, students enter the workforce not only knowing how to run CONVERGE simulations, but also with a deep understanding of the physics behind the models and the knowledge and skills to drive innovation.

Supporting Students

There are many reasons for undergraduate and graduate students to participate in the CONVERGE Academic Program.

Jump-start your career. CONVERGE is widely used in industry, academia, and government. Your CONVERGE knowledge will be a powerful asset as you look for engineering jobs after graduation. While of course we hope you will continue to use CONVERGE beyond your academic experience, the skills and knowledge you gain working with our software, interacting with experienced CONVERGE support engineers, and through our free training are directly transferable to post-graduation engineering jobs. 

Spend your time on what matters. Manually making meshes for CFD simulations can be an arduously long process, sometimes taking weeks or months. CONVERGE automatically generates an optimized Cartesian mesh at runtime, effectively eliminating all user meshing time. The result? You have more time to devote to research and analysis, and you can accomplish more in the same amount of time than you could with a different CFD solver. 

Trust your results. CONVERGE’s state-of-the-art physical models have been validated for a wide array of conditions and applications. In addition, CONVERGE’s Adaptive Mesh Refinement automatically refines the grid at each simulation time-step, ensuring that you capture the important physical phenomena necessary for accurate, predictive simulation results. 

Incorporate your own models. Are you developing or testing a novel physical model? You can easily incorporate your own models into CONVERGE with user-defined functions (UDFs) and tailor our software to meet your research needs.

Attend free CONVERGE training. Learning to use CONVERGE is simple with our wide selection of training courses. We offer hands-on introductory training, in which you learn the process for setting up and running a CONVERGE simulation from start to finish. If you’re interested in modeling a specific application or learning more about a particular CONVERGE feature, we have many in-depth advanced courses for you to choose from. We want to help you leverage the full potential of CONVERGE, so all of our training courses are free.

Work with CONVERGE support. At Convergent Science, we want to help you excel in your academic career and beyond. Our experienced and knowledgeable support engineers are ready to help you set up your case, troubleshoot problems, and interpret your results—all free of charge.

Resources for Academic Users

  • The Convergent Science hub offers many resources for CONVERGE users, including the CONVERGE and CONVERGE Studio manuals, training materials, and example case guides.
  • Convergent Science offers free online and in-person CONVERGE training courses for a wide variety of applications and features. Check out our training schedule for a list of upcoming courses.
  • The CFD Online CONVERGE forum is a platform where you can discuss CONVERGE questions with other CONVERGE users and our support engineers, who regularly monitor the forum.
  • The CONVERGE YouTube channel features tutorials for setting up cases, webinars on a variety of topics, and other educational content. 
  • The Getting Started Guide contains details on installing and running CONVERGE and CONVERGE Studio.
  • CONVERGE FAQs are available on our website and CFD Online, and provide answers to common questions from CONVERGE users.

Academic Research Spotlight


University of Massachusetts Amherst | Published October 2020


Politecnico di Torino | Published March 2020


University of Wisconsin–Madison | Presented September 2019


RWTH Aachen University | Presented March 2019


University of Connecticut | Presented September 2017


“CONVERGE’s tailored ability to simulate engines down to a crank angle basis makes working with complex moving geometries a streamlined and straightforward process. Great high performance computing scalability makes it possible to run large simulations without having to sacrifice on runtime or solution accuracy. The software has a user-friendly interface that can be modified within CONVERGE Studio or directly within input files for easy tweaking. Autonomous meshing and various automatic refinement options enables spending more time generating data and running additional tests and less time setting up codes. When needed, updates to the solver codes are frequent, and CONVERGE’s engineers are not only great at providing fast troubleshooting but also exceptionally helpful at creating innovative ways to implement projects.”
–Kyle Beurlot, Graduate Student, Texas A&M University

“The two graduate students we have using CONVERGE have found it easy to use and also to modify to incorporate our own custom designed UDFs.”
–Dr. Matthey Hall, Professor, The University of Texas at Austin

“We’ve been very happy with the performance of CONVERGE, especially the autonomous meshing, which has helped us get insights into things we could only dream of previously.”
–Dr. Jay P. Gore, Reilly University Chair Professor of Mechanical Engineering, Purdue University

“I have been amazed at how quickly students are able to accomplish significant tasks with CONVERGE. When I think back to my days taking the CFD sequence of classes as a grad student at Stanford, the idea of adaptive gridding for modeling highly dynamic systems like engines seemed daunting. But these capabilities are built into CONVERGE.”
-Dr. Andre Boehman, Professor and Director of W.E. Lay Automotive Laboratory, University of Michigan

Colorado State University; Cummins Inc.
Bestel, D., Bayliff, S., Marchese, A., Olsen, D., Windom, B., and Xu, H., “Multi-Dimensional Modeling of the CFR Engine for the Investigation of SI Natural Gas Combustion and Controlled End-Gas Autoignition,” ASME 2020 Internal Combustion Engine Division Fall Technical Conference, ICEF2020-2992, Online, Nov 4–6, 2020. DOI: 10.1115/ICEF2020-2992

Esgee Technologies; Cummins Inc.; Convergent Science; The University of Texas at Austin
Karpatne, A., Subramaniam, V., Joshi, S., Qin, X., Breden, D., Sofianopoulos, A., and Raja, L., “Towards Integrated Spark and Combustion Modeling for Engines,” ASME 2020 Internal Combustion Engine Division Fall Technical Conference, ICEF2020-2934, Online, Nov 4–6, 2020. DOI: 10.1115/ICEF2020-2934

Texas Tech University
Muthukumar, R.R., Parameswaran, S., and Ge, H., “Assessment of Primary Atomization Models for Spray Simulation,” ASME 2020 Internal Combustion Engine Division Fall Technical Conference, ICEF2020-2945, Online, Nov 4–6, 2020. DOI: 10.1115/ICEF2020-2945

University of Oxford
Fang, X., Sekularac, N., and Davy, M.H., “Parametric Studies of a Novel Combustion Modelling Approach for Low Temperature Diesel Spray Simulation,” ASME 2020 Internal Combustion Engine Division Fall Technical Conference, ICEF2020-2924, Online, Nov 4–6, 2020. DOI: 10.1115/ICEF2020-2924

Carnegie Mellon University
Biwalkar, R.M., Singh, S., Sharma, N., and Talabi, S.M., “Development of a Parametric Computational Fluid Dynamics Model to Estimate Passive Aerosol Decontamination,” 18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics (NURETH-18), Portland, OR, United States, Aug 18–22, 2019.

King Abdullah University of Science and Technology
Nyrenstedt, G., Houidi, M.B., Babayev, R., Im, H., and Johansson, B., “Computational Fluid Dynamics Investigation on Multiple Injector Concepts at Different Swirl Ratios in a Heavy Duty Engine,” ASME 2020 Internal Combustion Engine Division Fall Technical Conference, ICEF2020-2933, Online, Nov 4–6, 2020. DOI: 10.1115/ICEF2020-2933

The Ohio State University
Wang, W., “Conditional Moment Closure Model for Ignition of Homogeneous Fuel/Air Mixtures in Internal Combustion Engines,” Ph.D. thesis, The Ohio State University, Columbus, OH, United States, 2020.

The Ohio State University; Oak Ridge National Laboratory
Su, Y., Splitter, D., and Kim, S.H., “Laminar-to-Turbulent Flame Transition and Cycle-to-Cycle Variations in Large Eddy Simulation of Spark-Ignition Engines,” International Journal of Engine Research, 2020. DOI: 10.1177/1468087420962346

CMT-Motores Térmicos
Broatch, A., Olmeda, P., Margo, X., and Escalona, J., “Conjugate Heat Transfer Study of the Impact of ‘Thermo-Swing’ Coatings on Internal Combustion Engines Heat Losses,” International Journal of Engine Research, 2020. DOI: 10.1177/1468087420960617

Purdue University; Convergent Science
Hasti, V.R., Liu, S., Kumar, G., and Gore, J.P., “Comparison of Premixed Flamelet Generated Manifold Model and Thickened Flame Model for Bluff Body Stabilized Turbulent Premixed Flame,” 2018 AIAA Aerospace Sciences Meeting, AIAA 2018-0150, Kissimmee, FL, United States, Jan 8–12, 2018. DOI: 10.2514/6.2018-0150

For more CONVERGE papers, please check out the bibliography (PDF).

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