Extraction of interaction parameters for α-RuCl_{3} from neutron data using machine learning

Extraction of interaction parameters for α-RuCl_{3} from neutron data using machine learning

Single-crystal inelastic neutron-scattering (INS) data contain rich information about the structure and dynamics of a material. Yet the challenge of matching sophisticated theoretical models with large data volumes is compounded by computational complexity and the ill-posed nature of the inverse sca...

Full description

Bibliographic Details
Main Authors: Anjana M. Samarakoon, Pontus Laurell, Christian Balz, Arnab Banerjee, Paula Lampen-Kelley, David Mandrus, Stephen E. Nagler, Satoshi Okamoto, D. Alan Tennant
Format: Article
Language:English
Published: American Physical Society 2022-06-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.L022061

Internet

http://doi.org/10.1103/PhysRevResearch.4.L022061

Similar Items