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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Liverpool |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Mar 30, 2028 |
| Duration | 1,277 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2929215 |
I will be conducting computational simulations (TMM, FDTD, RCWA, DFT) to predict the spectrally selective / optical properties of multilayer thin films.
I will be using various machine learning models (Reinforcement learning, Genetic algorithms, Bayesian Optimisation) to design new multilayer thin films based on their simulated properties and predicted figure of merit as an emissive cooler on glass to enhance photovoltaic performance.
University of Liverpool
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