'Statistical physics' presentation slideshows

Molecular Models of Biological Evolution

Molecular Models of Biological Evolution. Chin-Kun Hu, Institute of Physics, Academia Sinica, Taipei 11529, Taiwan E-mail: huck@phys.sinica.edu.tw http://www.sinica.edu.tw/~statphys/. Concepts about origin of lifes. Evidences about biological evolution. Mechanism of Biological Evolution.

834 views • 69 slides

Series Lecture on Laser Plasma Physics

822 views • 61 slides

Optimization in mean field random models

542 views • 45 slides

Get Folder

Get Folder. Network Neighbourhood Tcd.ie Ntserver-usr Get richmond. Econophysics. Physics and Finance (IOP UK) Socio-physics (GPS) Molecules > people Physics World October 2003 http://www.helbing.org/ Complexity Arises from interaction Disorder & order

431 views • 35 slides

Saturday, December 13 Morning session

NIPS 2003 Workshop on Information Theory and Learning: The Bottleneck and Distortion Approach Organizers: Thomas Gedeon Naftali Tishby http://www.cs.huji.ac.il/~tishby/NIPS-Workshop. Saturday, December 13 Morning session

468 views • 33 slides

Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559

Thermal Physics PH2001. Dr Roger Bennett R.A.Bennett@Reading.ac.uk Rm. 23 Xtn. 8559. Lecture 1. Overview. This module will introduce the key concepts that form a cornerstone of modern physics. We will develop an understanding of the generic properties of matter - Thermodynamics

538 views • 33 slides

Hodnotenie

531 views • 30 slides

Combinatorial Scientific Computing: A View to the Future

Combinatorial Scientific Computing: A View to the Future. Bruce Hendrickson Senior Manager for Math & Computer Science Sandia National Laboratories, Albuquerque, NM University of New Mexico, Computer Science Dept. Combinatorial Scientific Computing.

415 views • 30 slides

6.896: Probability and Computation

6.896: Probability and Computation. Spring 2011. lecture 23. Constantinos ( Costis ) Daskalakis costis@mit.edu. Phylogenetic Reconstruction. Theorem [Lecture 21] :. independent samples from the CFN model. suffice to reconstruct the unrooted underlying tree, where.

295 views • 19 slides

Statistical Physics 1

Statistical Physics 1. Topics. Introduction The Boltzmann Distribution The Maxwell Distribution Summary. Introduction. We believe we now have the basic laws that, in principle, can be used to predict the detailed behavior of an arbitrarily large assembly of atoms and molecules

414 views • 18 slides

Characteristics of Networks in Financial Markets

Conference on Computational Physics 2006 (C34). Characteristics of Networks in Financial Markets. Kyungsik Kim, S.-M. Yoon*, D.-H. Ha Dept. of Physics and * School of Economics, Pukyong Natl Univ. Complex System. 1. Statistical Physics 2. Nonlinear dynamics 3. Complex network

281 views • 18 slides

Kazuyuki Tanaka Graduate School of Information Sciences, Tohoku University

318 views • 16 slides

Laser Cooling/Trapping of atoms

Laser Cooling/Trapping of atoms. http://www.ptb.de/en/org/4/44/443/melcol_e.jpg.

743 views • 12 slides

Summer Practice in JINR

Summer Practice in JINR. Mathematical modeling of high-energy particle beams in accelerators. Laboratory. List of participants: Marek Puchrowicz Supervisor: dr Aleksander Polanski Laboratory of Information Technologies. Monte Carlo Methods.

245 views • 12 slides

Principles of Scientific Simulation

Principles of Scientific Simulation. Spring Semester 2005 Geoffrey Fox Community Grids Laboratory Indiana University 505 N Morton Suite 224 Bloomington IN gcf@indiana.edu. Four Descriptions of Matter -- Quantum,Particle,Statistical, Continuum. Quantum Physics Particle Dynamics

176 views • 9 slides

Markov Networks

Markov Networks. Markov Networks. Smoking. Cancer. Undirected graphical models. Asthma. Cough. Potential functions defined over cliques. Markov Networks. Smoking. Cancer. Undirected graphical models. Asthma. Cough. Log-linear model:. Weight of Feature i. Feature i.

157 views • 7 slides

Monte-Carlo ??????

Monte-Carlo ??????. Monte-Carlo ????. ?? Monte-Carlo ?? ????? RUBINSTEIN,R. (1981): Simulation and the Monte Carlo Method. New York: Wiley. BINDER, K. (1978) Monte CarloM ethodsi n Statistical Physics. Springer-Verlag, Berlin. Monte-Carlo ????. ?? LLV ?? 1 ???? L L

431 views • 7 slides

a 0

? (r). r. a 0. Effects due to anharmonicity of the lattice potential. Grueneisen parameter. Frequencies become volume dependent. Frequency change modifies internal energy . linear thermal expansion coefficient. Detailed approach:. Remember differential of Helmholtz free energy.

172 views • 5 slides

Fig.1.

Organic Superconductors and Conductors in High Magnetic Fields Andrei G. Lebed, University of Arizona, DMR 1104512.

179 views • 2 slides

Dr. M. S. Santhanam (IISER Pune )

177 views • 1 slides