1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2022
Advancing Reacting Flow Simulations with Data-Driven Models
Kamila Zdybał, Giuseppe D'Alessio, Gianmarco Aversano +4
The use of machine learning algorithms to predict behaviors of complex systems is booming. However, the key to an effective use of machine learning tools in multi-physics problems,…
physics.comp-ph2020★ 1 cited
Mesoscopic modeling of heptane: A surface tension calculation
Qi Rao, Yidong Xia, Jiaoyan Li +3
Accurate and efficient flow models for hydrocarbons are important in the development of enhanced geotechnical engineering for energy source recovery and carbon capture & storage in…