124 citations · 124 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2021★ 124 cited
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…
cond-mat.stat-mech1997
Excitations and Possible Bound States in the S=1/2 Alternating Chain Compound (VO)2P2O7
Alan Tennant, Stephen Nagler, Ted Barnes +3
Magnetic excitations in an array of (VO)2P2O7 single crystals have been measured using inelastic neutron scattering. Until now, (VO)2P2O7 has been thought of as a two-leg antiferro…