Computational prediction of muon stopping sites: A novel take on the unperturbed electrostatic potential method

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Persistent URL	http://purl.org/net/epubs/work/50095617
Record Status	Checked
Record Id	50095617
Title	Computational prediction of muon stopping sites: A novel take on the unperturbed electrostatic potential method
Contributors	S Sturniolo (STFC Rutherford Appleton Lab.), L Liborio (STFC Rutherford Appleton Lab.)
Abstract
Organisation	STFC , SCI-COMP
Keywords
Funding Information	UK Materials Modeling Hub (EP/P020194/1); STFC-ISIS Muon Source; CCP for NMR Crystallography (EP/J010510/1); CCP for NMR Crystallography (EP/M022501/1); Ada Lovelace Center, SCD, RAL
Related Research Object(s):	46875150
Licence Information:
Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Article (Published Version)	J Chem Phys 153, no. 4 (2020): 044111.		STFC-APV-2020-044.pdf	2020