1 citations · 2 across the 3 of their papers we have counts for
3 papers
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,…
Local manifold learning and its link to domain-based physics knowledge
Kamila Zdybał, Giuseppe D'Alessio, Antonio Attili +3
In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain t…
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…