- Theory of spin loss at metallic interfaces (APS March Meeting, 2017)
- Effects of thermal spin fluctuations on the electronic properties of itinerant magnets (SPICE-Workshop on Computational Quantum Magnetism, Mainz, May 2015)
- Raising the Neel temperature of a magnetoelectric antiferromagnet (LabTalk highlight in JPCM, 2014)
- Electric resistivity and spin injection in the presence of thermal spin disorder (KITP program on Spintronics, Santa Barbara, December 2013)
- Lecture on magnetism (Muffin-Tin Recipes at Forschungszentrum Jülich, 2011)
- Voltage-controlled exchange bias

Our research is in computational electronic theory of solids. Usually we use
so-called *first-principles* techniques which are based in one way or
another on the solution of the quantum-mechanical Schroedinger equation for
the given material or nanostructure. The solutions may be used to calculate
various measurable properties such as the atomic structure, magnetization,
electric resistance or resistivity, response to external fields,
spectroscopic properties, etc. Because the general equations are unsolvable,
physical insight and clever approximations are always needed to make the
calculations manageable. Many different techniques are available, and new
ones are constantly being developed. Our work includes both
application of appropriate methods to problems of fundamental and practical
interest and development of new computational techniques.

Much of our research is related to spintronic applications, i.e., those dealing with existing or potential electronic devices whose operation depends on the manipulation of the electron spin. Examples include magnetic tunnel junctions which are used as miniature field sensors in hard-drive read heads and as non-volatile random-access memory bits in specialized microchips, magnetoelectric heterostructures that can potentially enable fast, non-volatile, and low-power magnetoelectric memory, or devices based on injection, manipulation, and detection of spin-polarized currents in semiconductors, which may potentially lead to a new generation of more efficient devices for computers. Our research, in particular, helps understand the properties of materials, as well as those of their surfaces or interfaces, which may be useful for such devices.

Our publications can be found here.