125 GeV Higgs as a pseudo-Goldstone boson in supersymmetry with vector-like matters

We propose a possibility of the 125 GeV Higgs being a pseudo-Goldstone boson in supersymmetry with extra vector-like fermions. Higgs mass is obtained from loops of top quark and vector-like fermions from the global symmetry breaking scale f at around TeV. The mu, Bmu/mu \sim f are generated from the dynamics of global symmetry breaking and the Higgs quartic coupling vanishes at f as tan beta \simeq 1. The relation of msoft \sim $4\pi M_Z$ with f \sim mu \sim m_soft \sim TeV is obtained and large mu does not cause a fine tuning for the electroweak symmetry breaking. The Higgs to di-photon rate can be enhanced from the loop of uncolored vector-like matters. The stability problem of Higgs potential with vector-like fermions can be nicely cured by the UV completion with the Goldstone picture.Comment: 28 pages, 8 figure

Skyrmions and Anomalous Hall Effect in a Dzyloshinskii-Moriya Spiral Magnet

Monte Carlo simulation study of a classical spin model with Dzylosinskii-Moriya interaction and the spin anisotropy under the magnetic field is presented. We found a rich phase diagram containing the multiple spin spiral (or skyrme crystal) phases of square, rectangular, and hexagonal symmetries in addition to the spiral spin state. The Hall conductivity $\sigma_{xy}$ is calculated within the $sd$ model for each of the phases. While $\sigma_{xy}$ is zero in the absence of external magnetic field, applying a field strength $H$ larger than a threshold value $H_c$ leads to the simultaneous onset of nonzero chirality and Hall conductivity. We find $H_c = 0$ for the multiple spin spiral states, but $H_c > 0$ for a single spin spiral state regardless of the field orientation. Relevance of the present results to MnSi is discussed

A Study on Machine Learning Based Light Weight Authentication Vector

Artificial Intelligence area has been rapidly advanced around the global companies such as Google, Amazon, IBM and so on. In addition, it is anticipated to facilitate the innovation in a variety of industries in the future. AI provides us with convenience in our lives, on the other hand, the valuable information on the subjects that utilize this has the potential to be exposed at anytime and anywhere. In the next advancement of AI area, the technical developments of the new security are required other than the existing methods. Generation and validation methods of light-weight authentication vector are suggested in this study to be used in many areas as an expanded security function. Upon the results of the capacity analysis, it was verified that efficient and safe security function could be performed using the existing machine learning algorithm. Authentication vector is designed to insert the encrypted data as variable according to the change of time. The security function was performed by comparing coordinate distance values within the authentication vector, and the internal structure was verified to optimize the performance cost required for data reverse search

Augmented finite element method for virtual testing of high temperature CMCs

Ceramic matrix composites (CMCs) have been increasingly used in high heat flux applications due to their ultra-high temperature resisting capabilities. However, CMCs are prone to processing-induced or in-serve cracking due to the large thermal stresses. Thermally-induced cracking are dangerous because they provide pathways for further damaging processes such as oxidation and vapor-assisted corrosion, which may lead to catastrophic failure [1]. High-fidelity thermal-mechanical analyses to CMCs with consideration of arbitrary cracking are very challenging because the heterogeneous nature makes it impossible to know the cracking locations a priori. Yet correct and efficient treatment of crack coalescence and bifurcation is critical for simulating the complex, multiple crack damage states in these materials. In the past years we have been developing a new simulation method named augmented finite element method (A-FEM) with temperature DoFs that can efficiently and faithfully account for the arbitrary cracking and the post-crack material damage accumulation in CMCs [2, 3]. The high accuracy and efficiency of the A-FEM is enabled by three key numerical capabilities developed in recent years: 1) a novel condensation method that enables mesh insensitive and accurate fracture predictions with mesh sizes 10~50 times larger, and computational times 100x~1000x times shorter, than other methods such as X-FEM, G-FEM, and PNM; 2) a unified cohesive zone model (CZM) that can predict static, fatigue, or dynamic crack initiation in general heterogeneous materials, followed by coupled crack propagation until final failure; and 3) a novel and very fast method to avoid numerical divergence due to unstable crack growth. The high-fidelity simulation capabilities pave the way for achieving virtual testing of complex CMCs at various scales from microscopic fiber/matrix interaction to structural integrity, all with explicit consideration of multiple cracking and crack interactions. In this study, the concept and procedure of a top-down virtual testing strategy will be first introduced, with emphases on the needs for novel experimental methods for basic property characterizing and results validation and advanced numerical methods for high-fidelity predictions at all important scales. The virtual testing scheme will then be demonstrated by a detailed review of a recent exercise on a high-temperature textile CMC, including the use of micro-computer-tomography (mCT) for material heterogeneity characterization, the generation of virtual test specimens with the statistic tow/matrix information from the mCT characterization, full 3D A-FEM modeling of the virtual specimen for material and structural performance evaluation, and validation of the A-FEM simulated results against independent experimental testing results. The presentation will conclude with key lessons learned from this exercise and important future needs to make the virtual testing for routine engineering design practice