no code implementations • 7 Nov 2021 • Indranil Pan, Lachlan Mason, Omar Matar
Recent advances in machine learning, coupled with low-cost computation, availability of cheap streaming sensors, data storage and cloud technologies, has led to widespread multi-disciplinary research activity with significant interest and investment from commercial stakeholders.
1 code implementation • 10 Jul 2020 • Pavan Inguva, Lachlan Mason, Indranil Pan, Miselle Hengardi, Omar K. Matar
To reduce the required computational costs, we apply machine learning techniques for clustering and consequent prediction of the simulated polymer blend images in conjunction with simulations.
no code implementations • 13 Mar 2020 • Gabriel F. N. Gonçalves, Assen Batchvarov, Yuyi Liu, Yuxin Liu, Lachlan Mason, Indranil Pan, Omar K. Matar
In chemical process engineering, surrogate models of complex systems are often necessary for tasks of domain exploration, sensitivity analysis of the design parameters, and optimization.