In this paper, we present a semi-analytical model for determining the magnetic and electromagnetic characteristics of spoke-type permanent magnet (STPM) machine considering magnet segmentation and finite soft-material relative permeability. The proposed model is based on the resolution of the Laplace’s and Poisson’s equations in a Cartesian pseudo-coordinate system with respect to the relative ...

We consider the rheology of soft-core frictionless disks in two dimensions in the neighborhood of the athermal jamming transition. From numerical simulations of bidisperse, overdamped, particles, we argue that the divergence of the viscosity below jamming is characteristic of the hard-core limit, independent of the particular soft-core interaction. We develop a mapping from soft-core to hardcor...

We investigate the phase behaviour of a two-dimensional colloidal model system ultra-soft particles on substrate which varies periodically along one spatial direction. Our calculations are based mean-field density functional theory for interacting via an potential, that is, generalized exponential with index four (\mbox{GEM-4}). For suitable periodicities (with commensurability parameter $p=2$)...

Core reuse is an emerging IC design style which enables rapid development of highly complex ICs. Reusable circuit cores come in two basic varieties, hard and soft. Hard cores are optimized for area and performance and are not modifiable by the user, whereas soft cores are user modifiable. If soft cores do not contain testability (i.e. scan/BIST), it can be inserted into the core by the user. Ha...

To study the possibility of a fluid-fluid phase transition, we analyze a three-dimensional soft-core isotropic potential for a one-component system. We utilize two independent numerical approaches, (i) integral equation in the hypernetted-chain approximation and (ii) molecular dynamics simulations, and find for both approaches a fluid-fluid phase transition as well as the conventional gas-liqui...

The COSIMIR (Cognitive Similarity Learning in Information Retrieval) model applies the powerful backpropagation algorithm to Information Retrieval, integrating human centered, soft and tolerant computing to the core of the retrieval processes. An overview of neural networks in Information Retrieval shows that current systems do not fully exploit the potential of neural networks. An empirical ev...

Maximum satisfiability (MaxSAT) is today a competitive approach to tackling NP-hard optimization problems in a variety of AI and industrial domains. A great majority of the modern state-of-the-art MaxSAT solvers are core-guided, relying on a SAT solver to iteratively extract unsatisfiable cores of the soft clauses in the working formula and ruling out the found cores via adding cardinality cons...

We derive the general expression for diffusiophoretic mobility of a soft particle (i.e., polyelectrolyte-coated hard particle) in concentration gradient electrolytes case which particle’s core size is large enough compared with Debye length. Therefore, surface can be regarded as planar, and electrolyte parallel to surface. The obtained applied arbitrary values fixed charge density polyelectroly...