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In positive muon spin rotation and relaxation spectroscopy it is becoming nowadays customary to take advantage of Density Functional Theory (DFT) based computational methods to aid the experimental data analysis. DFT aided muon site…

Strongly Correlated Electrons · Physics 2018-05-23 Ifeanyi John Onuorah , Pietro Bonfà , Roberto De Renzi

The technique of muon spin rotation ({\mu}SR) has emerged in the last few decades as one of the most powerful methods of obtaining local magnetic information. To make the technique fully quantitative, it is necessary to have an accurate…

Materials Science · Physics 2023-07-20 S. J. Blundell , T. Lancaster

Significant progress has recently been made in calculating muon stopping sites using density functional theory. The technique aims to address two of the most common criticisms of the muon-spin spectroscopy ($\mu^+$SR) technique, namely,…

Strongly Correlated Electrons · Physics 2022-08-31 B. M. Huddart , A. Hernández-Melián , T. J. Hicken , M. Gomilšek , Z. Hawkhead , S. J. Clark , F. L. Pratt , T. Lancaster

Accurate prediction of muon hyperfine constants is useful for interpreting muon spin spectroscopy data, yet standard methods such as density functional theory (DFT) compute muon-electron pair density functions, and thus hyperfine constants,…

Chemical Physics · Physics 2026-03-06 Jamie Carr , Mathias Volkai , W. M. C. Foulkes , Andres Perez Fadon

The quantum behavior of light nuclei and other particles in materials challenges classical intuition and introduces novel phenomena. Here we demonstrate that muon spin spectroscopy ( $\mu$SR) is a powerful tool for exploring the quantum…

Strongly Correlated Electrons · Physics 2025-07-16 Fabian Hotz , Matjaž Gomilšek , Tina Arh , Thomas Hicken , Polona Umek , Andrej Zorko , Hubertus Luetkens

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 chemistry simulations can be of great help when looking for…

Materials Science · Physics 2020-08-26 Simone Sturniolo , Leandro Liborio

The simulation of nuclear magnetic resonance (NMR) experiments is a notoriously difficult task, if many spins participate in the dynamics. The recently established dynamic mean-field theory for high-temperature spin systems (spinDMFT)…

Chemical Physics · Physics 2026-02-04 Timo Gräßer , Götz S. Uhrig

Density functional theory (DFT) provides a theoretical framework for efficient and fairly accurate calculations of the electronic structure of molecules and crystals. The main features of density functional theory are described and DFT…

Chemical Physics · Physics 2012-06-12 Hauke Paulsen , Alfred Xaver Trautwein

The dynamics of disordered nuclear spin ensembles are the subject of nuclear magnetic resonance studies. Due to the through-space long-range dipolar interaction generically many spins are involved in the time evolution, so that exact brute…

Materials Science · Physics 2026-05-11 Timo Gräßer , Götz S. Uhrig , Matthias Ernst

Progress towards the energy breakthroughs needed to combat climate change can be significantly accelerated through the efficient simulation of atomic systems. Simulation techniques based on first principles, such as Density Functional…

Machine Learning · Computer Science 2021-06-18 Muhammed Shuaibi , Adeesh Kolluru , Abhishek Das , Aditya Grover , Anuroop Sriram , Zachary Ulissi , C. Lawrence Zitnick

We present a new approach based on the static density functional theory (DFT) to describe paramagentic MnO, which is a representative paramagnetic Mott insulator. We appended the spin noncollinearity and the canonical ensemble to the…

Strongly Correlated Electrons · Physics 2020-07-14 Sangmoon Yoon , Seoung-Hun Kang , Sangmin Lee , Kuntae Kim , Jeong-Pil Song , Miyoung Kim , Young-Kyun Kwon

Classical Density Functional Theory (DFT) is a statistical-mechanical framework to analyze fluids, which accounts for nanoscale fluid inhomogeneities and non-local intermolecular interactions. DFT can be applied to a wide range of…

Computational Engineering, Finance, and Science · Computer Science 2017-02-07 Andreas Nold , Benjamin D. Goddard , Peter Yatsyshin , Nikos Savva , Serafim Kalliadasis

We present the results of muon-spin relaxation ($\mu^{+}$SR) measurements of the van der Waals magnet NiI$_2$, which probe magnetic phase transitions at $T_{\mathrm{N1}}=73$~K and $T_{\mathrm{N2}}=60$~K. Supporting density functional theory…

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 problem, using Density Functional Theory software in…

Computational Physics · Physics 2019-05-01 Simone Sturniolo , Leandro Liborio , Samuel Jackson

Muon imaging is one of the most promising non-invasive techniques for density structure scanning, specially for large objects reaching the kilometre scale. It has already interesting applications in different fields like geophysics or…

Instrumentation and Detectors · Physics 2017-12-14 H. Gómez , D. Gibert , C. Goy , K. Jourde , Y. Karyotakis , S. Katsanevas , J. Marteau , M. Rosas-Carbajal , A. Tonazzo

The density functional theory (DFT)+$U$ method is a pragmatic and effective approach for calculating the ground-state properties of strongly-correlated systems, and linear response calculations are widely used to determine the requisite…

Strongly Correlated Electrons · Physics 2018-12-31 Edward B. Linscott , Daniel J. Cole , Michael C. Payne , David D. O'Regan

Stochastic and mixed stochastic-deterministic density functional theory (DFT) are promising new approaches for the calculation of the equation-of-state and transport properties in materials under extreme conditions. In the intermediate warm…

Computational Physics · Physics 2023-09-27 Vidushi Sharma , Lee A. Collins , Alexander J. White

Muon Spin Rotation/Relaxation ({\mu}SR) is a powerful probe to study diffusion of hydrogen-like particles. One of the most common model to analyze {\mu}SR signals from materials where diffusion occurs, is by using functions derived from the…

Disordered Systems and Neural Networks · Physics 2011-12-08 J. Rodriguez , A. Amato , E. Pomjakushina

It is well-known experimentally that the positively-charged muon and the muonium atom may bind to molecules and solids, and through muon$'$s magnetic interaction with unpaired electrons, valuable information on the local environment…

Chemical Physics · Physics 2022-01-25 Mohammad Goli , Shant Shahbazian

Polarons are widespread in functional materials and are key to device performance in several technological applications. However, their effective impact on material behavior remains elusive, as condensed matter studies struggle to capture…

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