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        Laboratory for MicroMechanics of Materials is concentrated in the areas of micromechanical characterization of materials (including composites, superplastic, magnetic and thin film layered structures).  The main focus for these activities is to correlate details of microstructure (crystallographic grain and phase) distribution in the materials and properties (mechanical, magnetic) exhibited by these materials.  A variety of analytical approaches together with computational analysis (statistical analysis and neural network) have been used to characterize the distribution of the microstructure (crystal grain, phase) and its linkage to property.  One major emphasis has been to apply the concept of n-point probability functions to composites (elastic, plastic and magnetic) and finally to polycrystalline materials and layered structures.  I consider this as my most important contribution.
 Recent Publications
1-   B. Z. Cui, K. Han, H. Garmestani, H. J. Schneider-Muntau, “Structure and magnetic properties of FePt and FePt-Ag nanostructured magnets by cyclic cold rolling” Journal of Applied Physics, 99, 1, 2006.

2-   Al-Haik, M.S., M.Y. Hussaini, H. Garmestani, “prediction of Nonlinear Vicoelastic Behavior of Polymeric Composites Using an Artificial Neural Network”,  International Journal of Plasticity 22 (2006), 1367-1392.

3-   Yan S. S., Garmestani H., Tian Y. F., et al. Free boundary domain wall pinning model for the magnetization reversal in magnetic thin films, Japanese Journal Of Applied Physics Part 1-Regular Papers Brief Communications & Review Papers 45 (1a): 93-98 Jan 2006. (pdf)

4-   Johnson F, Um CY, McHenry ME, et al., The influence of composition and field annealing on magnetic properties of FeCo-based amorphous and nanocrystalline alloys, Journal Of Magnetism And Magnetic Materials 297 (2): 93-98 Feb 2006. (pdf)

5-   Sheikh-Ali A.D., Molodov D.A. and Garmestani H., “Thermomagnetic Treatment of Zinc: Selective Grain Growth and Texture Modification,” Reviews of Advanced Materials Science, 2006, vol. 11, No 2, pp. 167-173.
Research Areas