AI, Energy and Climate: Taylor Sparks and Colin McCormick: AI for Materials Innovation Part 1
The DSR Network
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Harnessing Machine Learning in Material Science
This chapter explores the intersection of data science and material science, addressing skepticism while showcasing significant advancements enabled by machine learning. Examples include the development of groundbreaking materials like 3D printable aluminum alloys, all while discussing the challenges of scaling production and understanding material life cycles. The conversation emphasizes the ongoing need for improved methodologies to fully leverage machine learning's potential in applications such as battery technology and carbon capture.
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