Editorial: Computational Modeling of Spintronic Materials

Theory of spintronic materials

James R. Chelikowsky , Efthimios Kaxiras, and Renata M. Wentzcovitch 1 Center for Computational Materials, Institute for Computational Engineering and Sciences, Departments of Physics and Chemical Engineering, University of Texas, Austin, TX 78712, USA 2 Department of Physics and Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA 3 Department of Chemical ...

Guest Editorial — Recent Progress in Spintronic Devices

The past three decades have witnessed an explosive growth of research activities and discoveries in the area of spintronics. At their heart, spintronic device technologies are based on physical phenomena that allow electrical signals (currents and voltages) to interact directly with spins in nanomagnetic structures, i.e., where magnetic and transport properties are directly coupled. Spintronics...

Design of spintronic materials with simple structures.

A brief comparison of conventional electronics and spintronics is given. The key features of half metallic binary compounds with the zincblende structure are presented, using MnAs as an example. We discuss the interactions responsible for the half metallic properties. Special properties of superlattices and a digital ferromagnetic heterostructure incorporating zincblende half metals are also di...

Editorial: Computational Neuroscience and Modeling of Diseases: Do We Need New Paradigms?

Editorial: Modelling and computational challenges in granular materials

Granularmaterials—conglomerates ofmacroscopic particles —are challenging systems to model. It is simply too costly to simulate the huge amount of particles in most systems in full detail. Even most intricate simulation methods, such as discrete particle simulations for modelling the full particle dynamics and direct numerical simulations to model a fluid flowing through the granular material, n...