The newest paper is finally available:
http://link.springer.com/article/10.100 ... nlineFirst
Recently I have also started revising my paper on symmetric boundaries.
Besides, there appeared a paper by Bulatov et al. in which
a function for calculation of boundary energy based on geometric parameters is proposed.
It will be interesting to compare their results with populations of boundaries published so far (low-energy boundaries should have high populations).

The CFM formalism were used for study of the thermodynamics and physicochemical properties in liquid melts. Interaction energy parameters have been numerically calculated and used for desciption of the concentartion-concentration fluctualtion function, the Warren-Cowley short-range order parameter. Also transport properties have been analysed, namely diffusivity and viscosity. Basing on CFM fomalism, the surface properties: surafc etension and surface concentration, were computed. The modelled data were confronted with the measured by PhD student. These modelled correlate well with these measured.

In December I took part in “São Paulo School of Advanced Sciences on Electrochemistry, Energy Conversion and Storage – SPASECS” where I presented the results of my work in the form of poster entitled „“Electrodeposition of Zn-Mo layers from aqueous citrate solutions””. Also I listened to several very interesting lectures concerning various aspects of electrochemistry.

This month was not so sad and depressive as I expected despite of drowsy weather. Probably it took place thanks to many things which have to be done. I performed cytotoxicity assays of PEM films such like PLL/HA and PLL/ALG. I also prepared Chi/CS samples which were sent to Laser Center in Leoben (Austria) in order to introduce into their structure SiC nanoparticles by PACVD method.

On the basis of an algorithm written program, creating EBSD maps based on mathematical graph G = (V, E) in the form of letters, in which the set of vertices V = {v1, ..., vn} is identified with a set of grain products, and the set of edges E = {e1, ..., em} is identified with the relation of grain vi vj neighborhood. Each node of the set of V has not yet assigned an average grain orientation and size (number of pixels of subsequent). The set E is formed from a set of V in the following way. Each grain vi from the set V is expanded by one pixel (up, down, left and right). Then takes into account the part of the common intersection of all the vertices understood as sets of items in a square matrix EBSD maps. Most of these grains will of course be decoupled, and where the information is collected intersect with a length of intersection, disorientation, borders positions in the matrix of the map.