Users’ Conference 2019: Acceleration of Stiff Chemistry Through TensorFlow and Machine Learning
This presentation by Dirk Van Essendelft discusses NETL’s development of a stabilized, explicit solver that is accelerated with Machine Learning (ML).
This presentation by Dirk Van Essendelft discusses NETL’s development of a stabilized, explicit solver that is accelerated with Machine Learning (ML).
This presentation by Sina Tebianian compares two different commercial CFD tools in their ability to predict the hydrodynamic features of slugging gas-solid fluidized beds.
This presentation by Raj Singh discusses the significance of CFD modeling tools to effectively screen and evaluate new ideas and design changes, which improves existing technologies as well as the development of new ideas.
This presentation by Frederik Zafiryadis discusses the catalytic cracking of sugars in a circulating fluidized bed (CFB) system and how simulations can help us understand its hydrodynamics.
This presentation by Dr. Hong-Shig Shim discusses an approach to develop a reduced description of the gas-phase chemical reaction’s detailed mechanism and implement it into a CFD framework.
This presentation by Reynaldo Gomez provides an overview of GPU vs CPU computing capabilities and introduces the NVIDIA software stack.
CPFD Software’s engineering services division is continuing to experience exceptional growth and we are seeking more top-quality talent in Houston, TX. If you know someone who has refining, petrochemical, gasification…
This presentation by Kutcher Tsai discusses Barracuda’s unique efficiency in modeling condense particular flows which makes it a perfect candidate for solving many large-scale problems.
This presentation by Adlan Omer demonstrates the Barracuda Virtual Reactor’s powerful applications in the cement industry using multiple examples.
Peter Blaser and Rajat Barua, CPFD Software, discuss the role of simulation in the digital transformation of modern refineries in an article featured in the April 2019 issue of Hydrocarbon…