Automated computational workflows for muon spin spectroscopy
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916611191996416 |
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| author | Onuorah, Ifeanyi J. Bonacci, Miki Isah, Muhammad M. Mazzani, Marcello De Renzi, Roberto Pizzi, Giovanni Bonfa`, Pietro |
| author_facet | Onuorah, Ifeanyi J. Bonacci, Miki Isah, Muhammad M. Mazzani, Marcello De Renzi, Roberto Pizzi, Giovanni Bonfa`, Pietro |
| contents | Positive muon spin rotation and relaxation spectroscopy is a well established experimental technique for studying materials. It provides a local probe that generally complements scattering techniques in the study of magnetic systems and represents a valuable alternative for materials that display strong incoherent scattering or neutron absorption. Computational methods can effectively quantify the microscopic interactions underlying the experimentally observed signal, thus substantially boosting the predictive power of this technique. Here, we present an efficient set of algorithms and workflows devoted to the automation of this task. In particular, we adopt the so-called DFT+μ procedure, where the system is characterised in the density functional theory (DFT) framework with the muon modeled as a hydrogen impurity. We devise an automated strategy to obtain candidate muon stopping sites, their dipolar interaction with the nuclei, and hyperfine interactions with the electronic ground state. We validate the implementation on well-studied compounds, showing the effectiveness of our protocol in terms of accuracy and simplicity of use |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_16722 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated computational workflows for muon spin spectroscopy Onuorah, Ifeanyi J. Bonacci, Miki Isah, Muhammad M. Mazzani, Marcello De Renzi, Roberto Pizzi, Giovanni Bonfa`, Pietro Computational Physics Positive muon spin rotation and relaxation spectroscopy is a well established experimental technique for studying materials. It provides a local probe that generally complements scattering techniques in the study of magnetic systems and represents a valuable alternative for materials that display strong incoherent scattering or neutron absorption. Computational methods can effectively quantify the microscopic interactions underlying the experimentally observed signal, thus substantially boosting the predictive power of this technique. Here, we present an efficient set of algorithms and workflows devoted to the automation of this task. In particular, we adopt the so-called DFT+μ procedure, where the system is characterised in the density functional theory (DFT) framework with the muon modeled as a hydrogen impurity. We devise an automated strategy to obtain candidate muon stopping sites, their dipolar interaction with the nuclei, and hyperfine interactions with the electronic ground state. We validate the implementation on well-studied compounds, showing the effectiveness of our protocol in terms of accuracy and simplicity of use |
| title | Automated computational workflows for muon spin spectroscopy |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2408.16722 |