Materials Science (cond-mat.mtrl-sci)

Abstract: (111) NiO epitaxial layers embedded with crystallographically oriented Ni-clusters are grown on c-GaN/Sapphire templates using pulsed laser deposition technique. Structural and magnetic properties of the films are examined by a variety of techniques including high resolution x-ray diffraction, precession-electron diffraction and superconducting quantum interference device magnetometry. The study reveals that the inclusion, orientation, shape, size, density and magnetic properties of these clusters depend strongly on the growth temperature (TG). Though, most of the Ni-clusters are found to be crystallographically aligned with the NiO matrix with Ni(111) parallel to NiO(111), clusters with other orientations also exist, especially in samples grown at lower temperatures. Average size and density of the clusters increase with TG . Proportion of the Ni(111) parallel to NiO(111) oriented clusters also improves as TG is increased. All cluster embedded films show ferromagnetic behaviour even at room temperature. Easy-axis is found to be oriented in the layer plane in samples grown at relatively lower temperatures. However, it turns perpendicular to the layer plane for samples grown at sufficiently high temperatures. This reversal of easy-axis has been attributed to the size dependent competition between the shape, magnetoelastic and the surface anisotropies of the clusters. This composite material thus has great potential to serve as spin-injector and spinstorage medium in GaN based spintronics of the future.

Abstract: We review well-known signatures of disorder in crystallographic and inelastic neutron scattering data. We show that these can arise from different types of disorder, corresponding to different values of the system entropy. Correlating the entropy of a material with its atomistic structure and dynamics is in general a difficult problem that requires correlating information between multiple experimental techniques including crystallography, spectroscopy, and calorimetry. These comments are illustrated with particular reference to barocalorics, but are relevant to a broad range of calorics and other disordered crystalline materials.

Abstract: Refractory metals that can withstand at high temperatures and harsh conditions are of utmost importance for solar-thermal and energy storage applications. Thin films of TiN have been deposited using cathodic vacuum arc deposition (CVA) at relatively low temperatures ~ 300 oC using the substrate bias ~ -60V. The nanomechanical properties of these films were investigated using nanoindentation and the spatial fluctuations were observed. The nanoindentation results were simulated using finite element method (FEM) through Johnson-Cook model. We have found the local nitridation plays an important role on nanomechanical properties of TiN thin films and confirms that the nitrogen deficient regions are ductile with low yield stress and hardening modulus. This study further opens the opportunities of modelling the nanoscale system using FEM analysis.

Abstract: The magnon propagation length, (MPL) of a ferro/ferrimagnet (FM) is one of the key factors that controls the generation and propagation of thermally-driven spin current in FM/heavy metal (HM) bilayer based spincaloritronic devices. Theory predicts that for the FM layer, MPL is inversely proportional to the Gilbert damping (alpha) and the square root of the effective magnetic anisotropy constant (K_eff). However, direct experimental evidence of this relationship is lacking. To experimentally confirm this prediction, we employ a combination of longitudinal spin Seebeck effect (LSSE), transverse susceptibility, and ferromagnetic resonance experiments to investigate the temperature evolution of MPL and establish its correlation with the effective magnetic anisotropy field, H_K^eff (proportional to K_eff) and alpha in Tm3Fe5O12 (TmIG)/Pt bilayers. We observe concurrent drops in the LSSE voltage and MPL below 200 K in TmIG/Pt bilayers regardless of TmIG film thickness and substrate choice and attribute it to the noticeable increases in H_K^eff and alpha that occur within the same temperature range. This study not only highlights the ability to manipulate MPL by controlling H_K^eff and alpha in FM/HM based spincaloritronic nanodevices, but also shows that the tuning of alpha is more effective than H_K^eff in controlling MPL and, hence, the spincaloritronic efficiency.

Abstract: We present QuantumMASALA, a compact package that implements different electronic structure methods in Python. Within just 8000 lines of pure Python code, we have implemented Density Functional Theory (DFT), Time dependent Density Functional Theory (TD-DFT) and the GW Method. The program can run across multiple process cores and in Graphical Processing Units (GPU) with the help of easily-accessible Python libraries. With QuantumESPRESSO and BerkeleyGW I/O interfaces implemented, it can also be used as a substitute for small scale calculations, making it a perfect learning tool for ab initio methods. The package is aimed to provide a framework with its modular and simple code design to rapidly build and test new methods for first-principles calculation.

Abstract: Metal surfaces have long been known to reconstruct, significantly influencing their structural and catalytic properties. Many key mechanistic aspects of these subtle transformations remain poorly understood due to limitations of previous simulation approaches. Using active learning of Bayesian machine-learned force fields trained from ab initio calculations, we enable large-scale molecular dynamics simulations to describe the thermodynamics and time evolution of the low-index mesoscopic surface reconstructions of Au (e.g., the Au(111)-`Herringbone,' Au(110)-(1$\times$2)-`Missing-Row,' and Au(100)-`Quasi-Hexagonal' reconstructions). This capability yields direct atomistic understanding of the dynamic emergence of these surface states from their initial facets, providing previously inaccessible information such as nucleation kinetics and a complete mechanistic interpretation of reconstruction under the effects of strain and local deviations from the original stoichiometry. We successfully reproduce previous experimental observations of reconstructions on pristine surfaces and provide quantitative predictions of the emergence of spinodal decomposition and localized reconstruction in response to strain at non-ideal stoichiometries. A unified mechanistic explanation is presented of the kinetic and thermodynamic factors driving surface reconstruction. Furthermore, we study surface reconstructions on Au nanoparticles, where characteristic (111) and (100) reconstructions spontaneously appear on a variety of high-symmetry particle morphologies.