Application of PREMIERE capabilities to COVID-19 related challenges

Capabilities applied to the challenges in energy sector

Capabilities applied to the challenges in healthcare sector

Capabilities applied to the challenges in manufacturing sector

Multi-fidely models tailored to multiphase framework for making predictions and studying critical properties

High quality data from experiments and simulations driving the development of the multi-fidelity models

Using ultrasound techniques to probe complex liquid-liquid and solid-liquid multiphase flows

Using the ghost particle velocimetry technique to probe the multiphase flows of micrometer length scale important in droplet physics

Use of in vitro microfluidic systems to inform the development of statistical uncertainty-based models to aid diagnosis of circulatory disorders

State-of-the-art technology allowing flexibility in accurately modelling flow around curved surfaces

Combination of physics and data-driven methods for effective flow-assurance

Investigation of effectiveness of face masks to reduce exposure hazards to COVID-19 using detailed coupled flow and solid/cloth mechanics modelling

Application of machine learning methods to predict realistic flow fields

Forecasting spatial variation of COVID-19 using Generative Adversarial Networks (GAN)

Development of a reliable microfluidic platform for the study and control of micro-reactors

Advancement of tools to design and optimise liquid-liquid extraction units

Study on a numerical framework for a highly non-linear and complex multiscale flow

Development of multi-component modelling code to accurately predict complex flow characteristics in industry-relevant flows

A study dealing with the dynamics of surfactant transport at liquid-liquid interfaces