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.