Machine Learning and AI for Data-Driven Materials Development and Design - Part 2

Explore the intersection of machine learning and materials research in this 40-minute webinar from the Materials Research Society. Delve into how artificial intelligence and data-driven approaches are revolutionizing materials discovery and development, traditionally a human-centered and inefficient process. Learn about the challenges researchers face when analyzing high-dimensional, large-scale, and heterogeneous data from experiments, simulations, and literature reviews. Discover the broad spectrum of topics where machine learning and AI are addressing key problems in experimental and theoretical materials science. Engage in discussions about the fundamental connections between machine learning and materials science, and gain insights into future applications and potential impacts on the field. This webinar is the second installment in a three-part series, offering a comprehensive look at the cutting-edge advancements in materials research driven by AI and machine learning technologies.