Consultant in computationalI am a PhD-level consultant doing modeling and simulations in materials science and applied physics. I have over ten years of international experience in mathematical modeling and numerical simulations (molecular dynamics, Monte Carlo, phase field).
I have a doctorate degree in Materials Science and Engineering from the University of Michigan. I co-authored 15 scientific articles in computational Materials Science and Engineering, including two as first author in Physical Review Letters.
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I worked on various material systems: semiconductors (nanostructure formation during heteroepitaxial growth), metals (competition between pearlite and martensite formation in steel, nanograins and nanowires of shape-memory alloys), polymers (glass transition).
At the University of Cambridge, I developed a new, faster (factor 100) computer simulation method within the framework of Monte Carlo lattice model to predict polymer glass-transition temperatures.
In order to better control dopant diffusion during device processing, I studied the effect of stress on point defects in semiconductors in collaboration with mechanical engineers.
Working closely with experimentalists, I designed a mathematical model to determine under what conditions pits would form in heteroepitaxial semiconductor thin films. [Phys. Rev. B 70, 235312 (2004)]
On a project I initiated, I showed how various parameters affect the interplay between martensite and pearlite formation in steel (which cannot be done experimentally). [Phys. Rev. Lett. 97, 055701 (2006)]
Collaborating with experimentalists, I used phase-field simulations to explain how alloying may stabilize polycrystalline thin films and dramatically enhance their performance. [Phys. Rev. Lett. 98, 085503 (2007)]
Contact me today and tell me about your project.
