Fe/MgO/Fe magnetic tunnel junctions (MTJs) have been reported to have very high tunnel magnetoresistance (TMR) ratios. In this work, we present the results of First Principle simulations of Fe/ MgO/Fe MTJs with LSDA as the exchange correlation. The I-V characteristics in the antiparallel magnetization state exhibit strong features. The bias dependence of the TMR ratio shows nearly 100% TMR rati...

Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of execution result a algorithm, it is crucial inform users noises used computer compiled physical circuits. However, an intuitive systematic way ma...

As the machine learning and systems communities strive to achieve higher energy efficiency through custom deep neural network (DNN) accelerators, varied precision or quantization levels, model compression techniques, there is a need for design space exploration frameworks that incorporate quantization-aware processing elements into accelerator while having accurate fast power, performance, area...

Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based are robust to noise, but lack complex background image modeling capability; representation-based good at localization, accuracy shape contour extraction...

This paper discusses the development and implementation of architecture a Framework for Aerospace Vehicle Reasoning, `FAVER'. Integrated Health Management systems require holistic view aircraft to isolate faults cascading between systems. FAVER is system-agnostic framework developed such propagating by incorporating Digital Twins (DTs) reasoning techniques. The flexibility work with different t...

In recent years, malware detection has become an active research topic in the area of Internet Things (IoT) security. The principle is to exploit knowledge from large quantities continuously generated malware. Existing algorithms practise available features for IoT devices and lack real-time prediction behaviours. More thus required on cope with misclassification input data. Motivated by this, ...

We present the results of resonant x-ray scattering experiments on KCuF3. Structurally forbidden reflections, corresponding to magnetic and 3d-orbital long-range order, have been observed. Integrated intensities have been measured as a function of incident energy, polarization, azimuthal angle, and temperature. By means of ab initio local spin density approximation ~LSDA! and local spin density...

Ordered ultra-thin Films (UTF's) are atomic n-layers (n = 1; 2; 3; : : :) with translational symmetry in-plane and molecular-like inter-planar spacings. Though commonly used (especially at relatively large n-values) as models of crystalline surfaces, they are intrinsically interesting and of growing technological signiicance as the basic building blocks of multi-layer electronic devices. Predic...

Sparse linear algebra is an important kernel in many different applications. Among various sparse general matrix-matrix multiplication (SpGEMM) algorithms, Gustavson’s column-wise SpGEMM has good locality when reading input matrix and can be easily parallelized by distributing the computation of columns output to processors. However, accumulation (SPA) step SpGEMM, which merges partial sums fro...

The magnetic ground state of chromium displays an incommensurate spin density wave with a period of about 21 atomic double layers. Recent electronic structure calculations for Cr found an antiferromagnetic ground state at the experimental lattice constant. We have used the full-potential localorbital code FPLO, which has allowed us a high accuracy of the total energy in LSDA. We have been able ...