Harnessing Machine Learning to Revolutionize Materials Research

In the realm of materials science, researchers face the formidable challenge of deciphering the intricate behaviors of substances at atomic scales. Techniques like inelastic neutron or X-ray scattering have provided invaluable insights yet are resource-intensive and complex. The limited availability of neutron sources, coupled with the need for meticulous data interpretation, has been a bottleneck […]

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