Integration of machine learning with neutron scattering for the Hamiltonian tuning of spin ice under pressure

Quantum materials research requires co-design of theory with experiments and involves demanding simulations and the analysis of vast quantities of data, usually including pattern recognition and clustering. Artificial intelligence is a natural route to optimise these processes and bring theory and e...

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Detalles Bibliográficos
Autores principales:	Samarakoon, Anjana, Tennant, David Alan, Ye, Feng, Zhang, Qiang, Grigera, Santiago Andrés
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2022
Materias:	Ciencias Exactas Física Computational science Magnetic properties and materials
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/154709
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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