2 papers
cond-mat.mtrl-sci2021
Machine Learning on Neutron and X-Ray Scattering
Zhantao Chen, Nina Andrejevic, Nathan Drucker +8
Neutron and X-ray scattering represent two state-of-the-art materials characterization techniques that measure materials' structural and dynamical properties with high precision. T…
physics.comp-ph2020
Machine Learning for Magnetic Phase Diagrams and Inverse Scattering Problems
Anjana M. Samarakoon, D. Alan Tennant
Machine learning promises to deliver powerful new approaches to neutron scattering from magnetic materials. Large scale simulations provide the means to realise this with approache…