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Guy C. Moore

Publications and source records attributed to Guy C. Moore.

7 recordsLinked to original sources

Kibble-Zurek dynamics beyond the thermodynamic limit

The Kibble-Zurek mechanism (KZM) predicts the universal scaling of topological defect densities generated during continuous phase transitions, a result derived in the thermodynamic limit of homogeneous systems. Yet real materials are intrinsically finite and heterogeneous, raising the question of how nonequilibrium universality survives outside this idealized limit. Here we establish an ensemble-finite-size extension of the KZM that describes critical dynamics in collections of independent finite subsystems with distributed sizes. We test this framework using a polycrystalline model system undergoing a symmetry-breaking transition. We find that the density of topological vortices follows an apparent power law with an exponent approximately half that observed in single crystals. This reduced exponent emerges quantitatively from averaging over the experimentally measured grain-size distribution, without fitting to the measured vortex densities. Our results demonstrate that finite-size effects do not simply suppress KZ scaling but reorganize it into an emergent statistical scaling regime governed by system-size heterogeneity. This establishes microstructure and geometry as control parameters of nonequilibrium critical dynamics and provides a general strategy to engineer scaling behaviour in complex materials.

cond-mat.mtrl-sci↗

pymatgen: 15 years of community growth, new functionality, and future prospects

We present a retrospective on the Python Materials Genomics (pymatgen) library, reflecting on 15 years of community growth and established best practices. The current version of pymatgen builds on its robust, open-source foundation, emphasising its collaborative nature. Over the past decade, pymatgen has thrived as one of the largest open-source materials science codebases. We detail how pymatgen supports advanced computational materials science workflows, how it adapts to changing demands, and the lessons learned from its growing community, providing guidance beyond pymatgen's open-source community. Pymatgen will continue to evolve in response to the current rapidly changing landscape of computational materials science and materials informatics. We discuss the challenges and potential solutions to managing the community-driven evolution of pymatgen and provide an outlook on its future development.

cond-mat.mtrl-sci↗

Realistic non-collinear ground states of solids with source-free exchange correlation functional

In this work, we extend the source-free (SF) exchange correlation (XC) functional developed by Sangeeta Sharma and co-workers to plane-wave density functional theory (DFT) based on the projector augmented wave (PAW) method. This constraint is implemented by the current authors within the VASP source code, using a fast Poisson solver that capitalizes on the parallel three-dimensional fast Fourier transforms (FFTs) implemented in VASP. Using this modified XC functional, we explore the improved convergence behavior that results from applying this constraint to the GGA-PBE+$U$+$J$ functional. In the process, we compare the non-collinear magnetic ground state computed by each functional and their SF counterpart for a select number of magnetic materials in order to provide a metric for comparing with experimentally determined magnetic orderings. We observe significantly improved agreement with experimentally measured magnetic ground state structures after applying the source-free constraint. Furthermore, we explore the importance of considering probability current densities in spin polarized systems, even under no applied field. We analyze the XC torque as well, in order to provide theoretical and computational analyses of the net XC magnetic torque induced by the source-free constraint. Along these lines, we highlight the importance of properly considering the real-space integral of the source-free local magnetic XC field. Our analysis on probability currents, net torque, and constant terms draws additional links to the rich body of previous research on spin-current density functional theory (SCDFT), and paves the way for future extensions and corrections to the SF corrected XC functional.

cond-mat.mtrl-sci↗

SpinPSO: An agent-based optimization workflow for identifying global noncollinear magnetic ground-states from first-principles

We propose and implement a novel hybrid meta-heuristic optimization algorithm for the identification of non-collinear global ground-states in magnetic systems. The inputs to this optimization scheme are directly from non-collinear density functional theory (DFT), and the workflow is implemented in the atomate code framework, making it suitable to run on high-performance computing architectures. The hybrid algorithm provides a seamless theoretical extension of particle swarm optimization (PSO) algorithms to continuous $\mathcal S^2$ spins, giving it the name SpinPSO. The hybrid nature of the algorithm stems from setting the dynamics of individual spins to be governed by physically motivated atomistic spin dynamics. Using this algorithm, we are able to achieve convergence to experimentally resolved magnetic ground-states for a set of diverse test case materials that exhibit exotic spin textures.

cond-mat.mtrl-sci↗

Magnetism and magnetocaloric properties of Co$_{1-x}$Mn$_x$Cr$_2$O$_4$

Co$_{1-x}$Mn$_x$Cr$_2$O$_4$ crystallizes as a normal spinel in the cubic $Fd \overline{3}m$ space group, and the end members have been reported to display a region of collinear ferrimagnetism as well as a low-temperature spin-spiral state with variable coherence lengths from 3 nm to 10 nm in polycrystalline samples. Here, we present the synthesis of the entire solid solution, and data showing that the ferrimagnetic ordering temperature as well as the spin-spiral lock-in temperature are tunable with the Co/Mn ratio. The peak magnetocaloric entropy change was determined to be $ΔS_M$ = -5.63 J kg$^{-1}$ K$^{-1}$ in an applied magnetic field change of $ΔH$ = 0 T to 5 T for the Mn end-member at the ferrimagnetic ordering temperature. Using density functional theory (DFT), we explore the shortcomings of the magnetic deformation proxy to identify trends in $ΔS_M$ across composition in this spinel system, and explore future extensions of theory to address these discrepancies.

cond-mat.mtrl-sci↗

High-throughput determination of Hubbard U and Hund J values for transition metal oxides via linear response formalism

DFT+U provides a convenient, cost-effective correction for the self-interaction error (SIE) that arises when describing correlated electronic states using conventional approximate density functional theory (DFT). The success of a DFT+U(+J) calculation hinges on the accurate determination of its Hubbard U and Hund's J parameters, and the linear response (LR) methodology has proven to be computationally effective and accurate for calculating these parameters. This study provides a high-throughput computational analysis of the U and J values for transition metal d-electron states in a representative set of over 2000 magnetic transition metal oxides (TMOs), providing a frame of reference for researchers who use DFT+U to study transition metal oxides. In order to perform this high-throughput study, an atomate workflow is developed for calculating U and J values automatically on massively parallel supercomputing architectures. To demonstrate an application of this workflow, the spin-canting magnetic structure and unit cell parameters of the multiferroic olivine LiNiPO4 are calculated using the computed Hubbard U and Hund J values for Ni-d and O-p states, and are compared with experiment. Both the Ni-d U and J corrections have a strong effect on the Ni-moment canting angle. Additionally, including a O-p U value results in a significantly improved agreement between the computed lattice parameters and experiment.

cond-mat.mtrl-sci↗

A Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes

In this paper we develop a methodology for the mesoscale simulation of strong electrolytes. The methodology is an extension of the Fluctuating Immersed Boundary (FIB) approach that treats a solute as discrete Lagrangian particles that interact with Eulerian hydrodynamic and electrostatic fields. In both cases the Immersed Boundary (IB) method of Peskin is used for particle-field coupling. Hydrodynamic interactions are taken to be overdamped, with thermal noise incorporated using the fluctuating Stokes equation, including a "dry diffusion" Brownian motion to account for scales not resolved by the coarse-grained model of the solvent. Long range electrostatic interactions are computed by solving the Poisson equation, with short range corrections included using a novel immersed-boundary variant of the classical Particle-Particle Particle-Mesh (P3M) technique. Also included is a short range repulsive force based on the Weeks-Chandler-Andersen (WCA) potential. The new methodology is validated by comparison to Debye-H{ü}ckel theory for ion-ion pair correlation functions, and Debye-H{ü}ckel-Onsager theory for conductivity, including the Wein effect for strong electric fields. In each case good agreement is observed, provided that hydrodynamic interactions at the typical ion-ion separation are resolved by the fluid grid.

physics.comp-ph↗