Materials informatics applies data science and AI methods to better understand the use, selection, development, and discovery of materials. It is used across the value chain, from upstream materials and chemicals developers to downstream product manufacturers. This report updates our assessment of this fast-moving space by using our proprietary data-driven methodology – the Lux Tech Signal – to analyze innovation activity in the different application areas within materials informatics, discusses the technology’s data challenges, reviews recent developments from both startups and large corporations, and finally provides our recommendations to clients.
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