The project aims to develop computational models to analyse the impact of ocean acidification on cold-water coral reefs. Our vision is to facilitate rapid monitoring strategies that can help to preserve some of the most vulnerable ecosystems. To realise this, we aim to develop fast and effective multiscale in silico models from coral skeleton to reef length scale to predict the ocean acidification induced decay of cold-water coral reef systems. A major challenge is the ability to such complex systems, and we aim to overcome this by combining the power of multiscale models based on physical knowledge with the speed of artificial neural networks.
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