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Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells (2019)
Journal Article
Majeed, N., Saladina, M., Krompiec, M., Greedy, S., Deibel, C., & Mackenzie, R. C. I. (2020). Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells. Advanced Functional Materials, 30(7), Article 1907259. https://doi.org/10.1002/adfm.201907259

There is currently a worldwide effort to develop novel materials for solar energy harvesting which are efficient, low cost and do not emit significant levels of CO 2 during manufacture. Currently when a researcher fabricates a novel device from a nov... Read More about Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin‐Film Solar Cells.

Electromagnetic shielding effectiveness of carbon fibre reinforced composites (2019)
Journal Article
Munalli, D., Dimitrakis, G., Chronopoulos, D., Greedy, S., & Long, A. (2019). Electromagnetic shielding effectiveness of carbon fibre reinforced composites. Composites Part B: Engineering, 173, Article 106906. https://doi.org/10.1016/j.compositesb.2019.106906

This paper reports results on the shielding effectiveness parameter of laminated epoxy composites with carbon fibre reinforcements. Measurements of shielding effectiveness were carried out with a coaxial transmission line testing chamber according to... Read More about Electromagnetic shielding effectiveness of carbon fibre reinforced composites.