
Automation is transforming materials science by introducing intelligent frameworks for scientific data collection. This breakthrough enables high-throughput, precise, and consistent data gathering, reducing manual errors and accelerating research timelines. By integrating AI, machine learning, and robotics, automated systems streamline experimental workflows, enhance reproducibility, and support advanced material discovery. From lab-scale testing to large-scale simulations, this approach paves the way for faster innovation and smarter materials development in diverse fields.
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