activity
20142021
most citedComputational Prediction of Muon Stopping Sites Using Ab Initio Random Structure Searching (AIRSS)

22 citations · 79 across the 10 of their papers we have counts for

collaborators

10 papers

cond-mat.str-el2021★ 5 cited

Intriguing magnetism of the topological kagome magnet TbMn_6Sn_6

C. Mielke, W. Ma, V. Pomjakushin +24

Magnetic topological phases of quantum matter are an emerging frontier in physics and material science. Along these lines, several kagome magnets have appeared as the most promisin…

physics.comp-ph2020★ 17 cited

mudirac: a Dirac equation solver for elemental analysis with muonic X-rays

Simone Sturniolo

We present a new open source software for the integration of the radial Dirac equation developed specifically with muonic atoms in mind. The software, called mudirac, is written in…

cond-mat.mtrl-sci2020★ 13 cited

Computational Prediction of Muon Stopping Sites: a Novel Take on the Unperturbed Electrostatic Potential Method

Simone Sturniolo, Leandro Liborio

Finding the stopping site of the muon in a muon-spin relaxation experiment is one of the main problems of muon spectroscopy, and computational techniques that make use of quantum c…

quant-ph2020

A Dyson equation approach for averaging of classical and quantum observables on multiple realizations of Markov processes

Simone Sturniolo

Time dependent signals in experimental techniques such as Nuclear Magnetic Resonance (NMR) and Muon Spin Relaxation (muSR) are often the result of an ensemble average over many mic…

physics.comp-ph2018★ 11 cited

Comparison between Density Functional Theory and Density Functional Tight Binding approaches for finding the muon stopping site in organic molecular crystals

Simone Sturniolo, Leandro Liborio, Samuel Jackson

Finding the possible stopping sites for muons inside a crystalline sample is a key problem of muon spectroscopy. In a previous work, we suggested a computational approach to this p…

physics.comp-ph2018★ 3 cited

The Lorentz sphere visualized

Simone Sturniolo, Jonathan Yates

From the inception of Nuclear Magnetic Resonance as a spectroscopic technique, the local origin of chemical shifts has been a topic of discussion. A useful concept employed to desc…

cond-mat.mtrl-sci2018★ 22 cited

Computational Prediction of Muon Stopping Sites Using Ab Initio Random Structure Searching (AIRSS)

Leandro Liborio, Simone Sturniolo, Dominik Jochym

The stopping site of the muon in a muon-spin relaxation experiment (μ+SR) is in general unknown. There are some techniques that can be used to guess the muon stopping site, but the…

quant-ph2017★ 8 cited

Computational applications of the Many Interacting Worlds interpretation of quantum mechanics

Simone Sturniolo

While historically many quantum mechanical simulations of molecular dynamics have relied on the Born-Oppenheimer approximation to separate electronic and nuclear behavior, recently…

quant-ph2017

Quantum operators for the computation of exponential weighted integrals of expectation values

Simone Sturniolo

An analytically derived 'integral operator' approach is introduced to estimate the expectation value of a quantum operator for an evolving state weighted with an exponential functi…

cond-mat.soft2014

Slow motions detection in polybutadiene through novel analyses of MSE refocusing efficiency and spin-lattice relaxation

Simone Sturniolo, Marco Pieruccini, Maurizio Corti +1

Novel methods to analyze NMR signals dominated by dipolar interaction are applied to the study of slow relaxation motions in polybutadiene approaching its glass transition temperat…