The convergence of materials science and artificial intelligence (AI) is creating a revolution in research and development. As AI algorithms become more sophisticated and more widely available, they are being used to automate the discovery of new materials and processes, which could lead to breakthroughs in fields from medicine to energy production. In this article, we discuss the promise and pitfalls of AI-driven materials science and the implications for the future of research.

AI-driven materials science could greatly accelerate the pace of materials discovery. By automating the process of conducting experiments and analyzing data, AI can quickly identify patterns in the data that would take humans months or even years to find. Furthermore, it can be used to predict the properties of new materials, allowing researchers to develop materials with the desired properties without having to test them in a laboratory. This could give scientists the ability to create new materials and processes faster than ever before.

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source: VentureBeat