Multiscale Statistical Physics | Department of Applied Physics

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Department of Applied Physics / Research groups / Centre of Excellence in Computational Nanoscience (COMP) / Multiscale Statistical Physics

Group Leader: Prof. Tapio Ala-Nissilä

polymer_escape_2_c

A polymer escaping from the metastable potential well.

phiave

An order parameter field of a rotated grain within a crystal shrinking and turning as it approaches equilibrium state. White spots correspond to liquid-like regions.

bubble_showcase

A growing bubble of steam (blue) growing in water (orange) in contact with a hot plate (black surface). The bubble dynamics is faithfully modeled by numerically solving the full set of full, compressible thermohydrodynamic Navier-Stokes equations developed in collaboration with the group of G. Amberg at The Royal Institute of Technology in Stockholm, Sweden [T. Laurila et al., Phys. Rev. E vol. 85, 026320 (2012)]. Inset shows the adaptive numerical grid at the two-phase interface.

comp1

Phase-field crystal model of a strained Cu overlayer on Ru(0001) surface. The blue and red colors indicate the two different sublattices for Cu adsorbates, which are separates by yellow domain walls (incommensurate regions).

See also group pages at http://tfy.tkk.fi/~ala

Centre of Excellence in Computational Nanoscience (COMP)
Atomic Scale Physics
Computational Soft Matter
Fission and Radiation Physics
Fusion and Plasma Physics
Molecular Materials
Nanomagnetism and Spintronics
NanoMaterials
New Energy Technologies
Optics and Photonics
Positron Physics and Defect Spectroscopy
Quantum Nanomechanics
Soft Matter and Wetting
Surface Science

Last update: April 10, 2013

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