13 citations · 16 across the 4 of their papers we have counts for
5 papers
Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow
Vinicius L S Silva, Pablo Salinas, Claire E Heaney +2
We propose a novel type of nonlinear solver acceleration for systems of nonlinear partial differential equations (PDEs) that is based on online/adaptive learning. It is applied in…
Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions
Vinicius L S Silva, Geraldine Regnier, Pablo Salinas +3
Reactive transport in porous media plays a pivotal role in subsurface reservoir processes, influencing fluid properties and geochemical characteristics. However, coupling fluid flo…
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li +1
We propose the novel use of a generative adversarial network (GAN) (i) to make predictions in time (PredGAN) and (ii) to assimilate measurements (DA-PredGAN). In the latter case, w…
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification
Vinicius L. S. Silva, Claire E. Heaney, Nenko Nenov +1
We propose a new method in which a generative network (GN) integrate into a reduced-order model (ROM) framework is used to solve inverse problems for partial differential equations…
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
César Quilodrán-Casas, Vinicius Santos Silva, Rossella Arcucci +3
The outbreak of the coronavirus disease 2019 (COVID-19) has now spread throughout the globe infecting over 150 million people and causing the death of over 3.2 million people. Thus…