Konwersatorium im. Jerzego Pniewskiego
2006/2007 | 2007/2008 | 2008/2009 | 2009/2010 | 2010/2011 | 2011/2012 | 2012/2013 | 2013/2014 | 2014/2015 | 2015/2016 | 2016/2017 | 2017/2018
60 lat Instytutów Fizyki Doświadczalnej i Fizyki Teoretycznej UW
Szanowni Państwo,
W maju 1952 roku utworzone zostały w Uniwersytecie Warszawskim Instytuty: Fizyki Doświadczalnej i Fizyki Teoretycznej.
W poniedziałek 21 maja 2012 o 16:30 w SDD odbędzie się konwersatorium, podczas którego swoimi refleksjami podzielą się profesorowie Wojciech Królikowski i Andrzej Kajetan Wróblewski. Po konwersatorium zapraszamy na poczęstunek w salach SDT i SST.
Tomasz Matulewicz
Marek Napiórkowski
Struktura kryształow a efekt magnetoelektryczny
Crystal structure and the magnetoelectric effect
Multiferroic materials combine two or more of the primary ferroic orderings including ferromagnetic, ferroelectric and ferroelastic in the same crystal. There is an interplay between these orderings which leads to the magnetoelectric effect in which a change of the electric (magnetic) polarization can be done with the application of the magnetic (electric) field. The magnetoelectric effect can find its application in modern data storage technology. The magnetoelectric effect is often associated with a modulation of the atomic positions in the crystal lattice and/or with the modulation of the magnetic moments. Neutron diffraction, X-ray and synchrotron radiation methods can be used to determine the character or the modulations in the crystals. Studies of the atomic structure modulations and magnetic modulations will be presented for selected multiferroic materials including: CuO, TbMnO3, Sr3Co2Fe24O41 and CaMn7O12.
The contribution ofeconophysics to the modeling of financial markets
Since more than 20 years, physicists have been investigating economic and financial systems with tools and concepts from statistical and condensed matter physics [1]. Many of these studies have been devoted to studies focusing on financial markets. In this talk I will first briefly discuss some stylized facts discovered or investigated in details by econophysicists and then I will present an overview of some results obtained by my research group. Specifically, I will discuss some approaches used to describe the hierarchical multivariate nature of the dynamics of stock returns of a portfolio traded in a financial market [2]. Furthermore, I will discuss the clusters of individual investors detected by analyzing their empirical records of trading activity in a financial market [3].
[1] Rosario N Mantegna and János Kertész, Focus on Statistical Physics Modeling in Economics and Finance, New J. Phys. 13, 025011 (2011)
[2] Michele Tumminello, Fabrizio Lillo, Rosario N. Mantegna, Correlation, hierarchies, and networks in financial markets, Journal of Economic Behavior & Organization, 75, 40-58 (2010)
[3] Michele Tumminello, Fabrizio Lillo, Jyrki Piilo and Rosario N Mantegna, Identification of clusters of investors from their real trading activity in a financial market, New J. Phys. 14, 013041 (2012)
Struktury niskowymiarowe w badaniach prof. Jana Gaja nad półprzewodnikami półmagnetycznymi
Numerical modeling of multiscale atmospheric flows: from cloud microphysics to climate
An outstanding feature of atmospheric flows is the range of spatial and temporal scales involved. Development of rain through gravitational collisions of cloud droplets concerns processes at sub-centimeter scales. Size distribution of cloud droplets within turbulent cumulus and stratocumulus clouds in the tropics and subtropics, where the solar insolation is at its peak, significantly affects the amount of solar radiation reflected back to space, and thus the planetary albedo. Tropical deep convective clouds, often organized into mesoscale convective systems with horizontal scales of hundreds of kilometers, drive planetary-scale Walker and Hadley circulations,which play a critical role in the Earth energy and water cycles. For all these scales, numerical modeling - either for scientific researchor for practical purposes, like the numerical weather prediction - plays an important role.
In this lecture, I will present examples of multiscale modeling approaches to selected problems in atmospheric fluid dynamics. These will include collision/coalescence of cloud droplets, turbulent entrainment into convective clouds, and representation of cloud processes in climate models.