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...

全面介紹

書目詳細資料

Principais autores:	Anjana M. Samarakoon, Pontus Laurell, Christian Balz, Arnab Banerjee, Paula Lampen-Kelley, David Mandrus, Stephen E. Nagler, Satoshi Okamoto, D. Alan Tennant
格式:	Artigo
語言:	Inglês
出版:	American Physical Society 2022-06-01
叢編:	Physical Review Research
在線閱讀:	http://doi.org/10.1103/PhysRevResearch.4.L022061
標簽:	添加標簽 沒有標簽, 成為第一個標記此記錄!