Machine learning-aided combustion reaction fluid model
and computing method
We focus on combining combustion science, computational fluid dynamics, computational chemistry with artificial intelligence and high-performance computing, develops original machine learning-assisted combustion computing methods, builds open-source platform, database and standardized workflow, and promotes the application of combustion scientific computing in aerospace, energy and chemical industry.
Focus on the application of the next generation of artificial intelligence methods to solve core scientific problems,including multi-scale modeling, first-principles molecular dynamics, engine turbulent combustion simulation.
[Deep Flame] Open source computing platform of combustion reaction in “AI for Science” era
Deep learning-based First-principles molecular dynamics simulation for methane combustion
Deep learning-based DeePMR method for simplifying N-heptane reaction mechanism
Multi-scale sampling and ODE solving of reaction kinetics
Address：No.150 Chengfu Road, Haidian District, Beijing
Email : firstname.lastname@example.org