Automated computational workflows for muon spin spectroscopy

Positive muon spin rotation and relaxation spectroscopy is a well established experimental technique. We present here computational workflows to automate the corresponding simulations, boosting the predictive power of this technique.

Authors

Institutions

Publication Details

Journal
Digital Discovery
Published
2025-01-01
DOI
https://doi.org/10.1039/d4dd00314d
Citations
4
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
3.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated computational workflows for muon spin spectroscopy

Muhammad Maikudi Isah, Ifeanyi John Onuorah, Giovanni Pizzi, Pietro Bonfà et al.
4 citations
Digital Discovery
Advanced NMR Techniques and Applications
3.03
article

Automated computational workflows for muon spin spectroscopy

Muhammad Maikudi Isah, Ifeanyi John Onuorah, Giovanni Pizzi, Pietro Bonfà, Miki Bonacci, R. De Renzi, Marcello Mazzani
article en
4 citations

Abstract

Positive muon spin rotation and relaxation spectroscopy is a well established experimental technique. We present here computational workflows to automate the corresponding simulations, boosting the predictive power of this technique.

Digital DiscoveryVol. 4(2)
University of Modena and Reggio Emilia (IT), University of Parma (IT), Paul Scherrer Institute (CH), Osservatorio astronomico di Bologna (IT), Istituto Nanoscienze (IT), University of Bologna (IT)
Openalex Percentile: Top 11%
Advanced NMR Techniques and Applications
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automated computational workflows for muon spin spectroscopy — Muhammad Maikudi Isah, Ifeanyi John Onuorah, et al. · Digital Discovery (2025) | TGRS Research Map | TGRS