The rapid developments of computational quantum chemistry methods and supercomputing facilities motivate the renewed interest in the analysis of the muon/electron interactions in μSR experiments with ab initio approaches. Modern simulation methods seem to be able to provide the answers to the frequently asked questions of many μSR experiments: where is the muon? Is it a passive probe? What are the interaction parameters governing the muon-sample interaction? In this review we describe some of the approaches used to provide quantitative estimations of the aforementioned quantities and we provide the reader with a short discussion on the current developments in this field.

Toward the computational prediction of muon sites and interaction parameters / Bonfa', Pietro; DE RENZI, Roberto. - In: JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN. - ISSN 0031-9015. - 85:9(2016), pp. 091014-091014. [10.7566/JPSJ.85.091014]

Toward the computational prediction of muon sites and interaction parameters

BONFA', Pietro;DE RENZI, Roberto
2016-01-01

Abstract

The rapid developments of computational quantum chemistry methods and supercomputing facilities motivate the renewed interest in the analysis of the muon/electron interactions in μSR experiments with ab initio approaches. Modern simulation methods seem to be able to provide the answers to the frequently asked questions of many μSR experiments: where is the muon? Is it a passive probe? What are the interaction parameters governing the muon-sample interaction? In this review we describe some of the approaches used to provide quantitative estimations of the aforementioned quantities and we provide the reader with a short discussion on the current developments in this field.
Toward the computational prediction of muon sites and interaction parameters / Bonfa', Pietro; DE RENZI, Roberto. - In: JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN. - ISSN 0031-9015. - 85:9(2016), pp. 091014-091014. [10.7566/JPSJ.85.091014]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2822106
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 22
social impact