42 citations · 82 across the 9 of their papers we have counts for
3 papers · 1 filter
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
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-di…
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Pavan Inguva, Lachlan Mason, Indranil Pan +2
Multi-component polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved u…
Data-driven surrogate modelling and benchmarking for process equipment
Gabriel F. N. Gonçalves, Assen Batchvarov, Yuyi Liu +4
In chemical process engineering, surrogate models of complex systems are often necessary for tasks of domain exploration, sensitivity analysis of the design parameters, and optimiz…