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.
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.
This presentation by Peter Blaser discusses simulation as a means to “look inside” the FCCU, addressing issues such as erosion, catalyst losses, afterburn. Emissions, and catalyst circulation problems.
This presentation by Matthias Schumacher and Martin Weng presents a case study highlighting the successful optimization of a secondary-fuel-fired cement calciner.