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Grain boundaries (GBs) are a prolific microstructural feature that dominates the functionality of a wide class of materials. The change in functionality at a GB is a direct result of unique local atomic arrangements, different from those in the grain, that have driven extensive experimental and theoretical studies correlating atomic-scale GB structures to macroscopic electronic, infrared-optical, and thermal properties. Here, we examine a SrTiO3 GB using atomic-resolution aberration-corrected scanning transmission electron microscopy (STEM) and ultra-high-energy-resolution monochromated electron energy-loss spectroscopy (EELS), in conjunction with density functional theory (DFT) calculations. This combination enables the direct correlation of the GB structure, composition, and chemical bonding with atomic vibrations within the GB dislocation-cores. We observe that nonstoichiometry and changes in coordination and bonding at the GB leads to a redistribution of vibrational states at the GB and its dislocation-cores relative to the bounding grains. The access to localized vibrations within GBs provided by ultrahigh spatial/spectral resolution EELS correlated with atomic coordination, bonding, and stoichiometry and validated by theory, provides a direct route to quantifying the impact of individual boundaries on macroscopic properties., Comment: 41 pages, 15 figures

As the length-scales of materials decrease, heterogeneities associated with interfaces approach the importance of the surrounding materials. Emergent electronic and magnetic interface properties in superlattices have been studied extensively by both experiments and theory. $^{1-6}$ However, the presence of interfacial vibrations that impact phonon-mediated responses, like thermal conductivity $^{7,8}$, has only been inferred in experiments indirectly. While it is accepted that intrinsic phonons change near boundaries $^{9,10}$, the physical mechanisms and length-scales through which interfacial effects influence materials remain unclear. Herein, we demonstrate the localized vibrational response associated with the interfaces in SrTiO$_3$-CaTiO$_3$ superlattices by combining advanced scanning transmission electron microscopy imaging and spectroscopy and density-functional-theory calculations. Symmetries atypical of either constituent material are observed within a few atomic planes near the interface. The local symmetries create local phonon modes that determine the global response of the superlattice once the spacing of the interfaces approaches the phonon spatial extent. The results provide direct visualization and quantification, illustrating the progression of the local symmetries and interface vibrations as they come to determine the vibrational response of an entire superlattice; stated differently, the progression from a material with interfaces, to a material dominated by interfaces, to a material of interfaces as the period decreases. Direct observation of such local atomic and vibrational phenomena demonstrates that their spatial extent needs to be quantified to understand macroscopic behavior. Tailoring interfaces, and knowing their local vibrational response, provides a means of pursuing designer solids having emergent infrared and thermal responses., Comment: 38 pages, 3 figures, 10 supplemental figures

Phase change memory (PCM) is a rapidly growing technology that not only offers advancements in storage-class memories but also enables in-memory data storage and processing towards overcoming the von Neumann bottleneck. In PCMs, the primary mechanism for data storage is thermal excitation. However, there is a limited body of research regarding the thermal properties of PCMs at length scales close to the memory cell dimension and, thus, the impact of interfaces on PCM operation is unknown. Our work presents a new paradigm to manage thermal transport in memory cells by manipulating the interfacial thermal resistance between the phase change unit and the electrodes without incorporating additional insulating layers. Experimental measurements show a substantial change in thermal boundary resistance as GST transitions from one crystallographic structure (cubic) to another (hexagonal) and as the thickness of tungsten contacts is reduced from five to two nanometers. Simulations reveal that interfacial resistance between the phase change unit and its adjacent layer can reduce the reset current for 20 and 120 nm diameter devices by up to ~40% and ~50%, respectively. The resultant phase-dependent and geometric effects on thermal boundary resistance dictate that the effective thermal conductivity of the phase change unit can be reduced by a factor of four, presenting a new opportunity to reduce operating currents in PCMs.

Nonlinear attitude filters have been recognized to have simpler structure and better tracking performance when compared with Gaussian attitude filters and other methods of attitude determination. A key element of nonlinear attitude filter design is the selection of error criteria. The conventional design of nonlinear attitude filters has a trade-off between fast adaptation and robustness. In this work, a new functional approach based on fuzzy rules for on-line continuous tuning of the nonlinear attitude filter adaptation gain is proposed. The input and output membership functions are optimally tuned using artificial bee colony optimization algorithm taking into account both attitude error and rate of change of attitude error. The proposed approach results of high adaptation gain at large error and small adaptation gain at small error. Thereby, the proposed approach allows fast convergence properties with high measures of robustness. The simulation results demonstrate that the proposed approach offers robust and high convergence capabilities against large error in initialization and uncertain measurements., Comment: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)