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Found 2 papers, 1 papers with code
Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO
Bridging the gap between diffuse x-ray or neutron scattering measurements and predicted structures derived from atom-atom pair potentials in disordered materials, has been a longstanding challenge in condensed matter physics.
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Understanding the structure and properties of refractory oxides are critical for high temperature applications.
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