Platform uses machine learning
Scientists claim CCS research platform can bridge ‘valley of death’
Platform developed at Scottish university uses advanced simulations and machine learning to find most cost-effective and sustainable combinations of materials for use in carbon capture
Scientists at the UK’s Heriot-Watt University have launched a research platform they claim can bridge the gap between fundamental research into the use of carbon capture materials and their application in the real world. This gap, sometimes referred to as ‘the valley of death’, is common in the field of carbon capture, where novel materials are used to remove CO₂ from flue gases produced by industrial processes, the university said. The new platform—called ‘Process-Informed design of tailor-made Sorbent Materials’ (PrISMa)—uses advanced simulations and machine learning to find the most cost-effective and sustainable combinations of materials for use in the CO₂ capture process, prior to actua
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