Computational Physics I

Lecture Notes

  1. W. Janke,
    Monte Carlo Simulations in Statistical Physics - From Basic Principles to Advanced Applications,
    invited Ising Lectures, Lviv, Ukraine, in: Order, Disorder and Criticality: Advanced Problems of Phase Transition Theory, Vol. 3, edited by Y. Holovatch (World Scientific, Singapore, 2012), pp. 93 - 166 [online]

  2. W. Janke,
    Monte Carlo Methods in Classical Statistical Physics,
    invited lectures, in: Computational Many-Particle Physics, Wilhelm & Else Heraeus Summer School, Greifswald, Germany, 18-29 September 2006, edited by H. Fehske, R. Schneider, and A. Weiße, Lect. Notes Phys. 739 (Springer, Berlin, 2008), pp. 79 - 140 [online].

  3. W. Janke,
    Introduction to Simulation Techniques,
    invited lectures, in: Ageing and the Glass Transition, Summer School, University of Luxembourg, September 2005, edited by M. Henkel, M. Pleimling, and R. Sanctuary, Lect. Notes Phys. 716 (Springer, Berlin, 2007), pp. 207 - 260 [online].

  4. W. Janke,
    First-Order Phase Transitions,
    invited lecture, in: Computer Simulations of Surfaces and Interfaces, NATO Science Series, II. Mathematics, Physics and Chemistry - Vol. 114, Proceedings of the NATO Advanced Study Institute, Albena, Bulgaria, 9-20 September 2002, edited by B. Dünweg, D.P. Landau, and A.I. Milchev (Kluwer, Dordrecht, 2003); pp. 111 - 135 [online].

  5. W. Janke,
    Histograms and All That,
    invited lecture, in: Computer Simulations of Surfaces and Interfaces, NATO Science Series, II. Mathematics, Physics and Chemistry - Vol. 114, Proceedings of the NATO Advanced Study Institute, Albena, Bulgaria, 9-20 September 2002, edited by B. Dünweg, D.P. Landau, and A.I. Milchev (Kluwer, Dordrecht, 2003); pp. 137 - 157 [online].

  6. W. Janke,
    Statistical Analysis of Simulations: Data Correlations and Error Estimation,
    invited lecture, in: Proceedings of the Euro Winter School Quantum Simulations of Complex Many-Body Systems: From Theory to Algorithms, Kerkrade, The Netherlands, 25 February - 1 March 2002, edited by J. Grotendorst, D. Marx, and A. Muramatsu, John von Neumann Institute for Computing, Jülich, NIC Series, Vol. 10, pp. 423 - 445 (2002) [online].

  7. W. Janke,
    Pseudo Random Numbers: Generation and Quality Checks,
    invited lecture, in: Proceedings of the Euro Winter School Quantum Simulations of Complex Many-Body Systems: From Theory to Algorithms, Kerkrade, The Netherlands, 25 February - 1 March 2002, edited by J. Grotendorst, D. Marx, and A. Muramatsu, John von Neumann Institute for Computing, Jülich, NIC Series, Vol. 10, pp. 447 - 458 (2002) [online].

Reviews

  1. J. Zierenberg, M. Marenz, and W. Janke,
    Dilute Semiflexible Polymers with Attraction: Collapse, Folding and Aggregation,
    invited review, Polymers 8, 333-1 - 19 (2016) [Polymers online] [online].
  2. W. Janke and W. Paul,
    Thermodynamics and Structure of Macromolecules from Flat-Histogram Monte Carlo Simulations,
    invited review, Soft Matter 12, 642 - 657 (2016) [Soft Matter online].

Textbooks

  1. M.E.J. Newman and G.T. Barkema,
    Monte Carlo Methods in Statistical Physics
    (Clarendon Press, Oxford, 1999).

  2. D.P. Landau and K. Binder,
    Monte Carlo Simulations in Statistical Physics
    (Cambridge University Press, Cambridge, 2000).

  3. D. Frenkel and B. Smit,
    Understanding Molecular Simulation: From Algorithms to Applications
    2nd revised edition (Academic Press, New York, 2001).

  4. K. Binder and D.W. Heermann,
    Monte Carlo Simulations in Statistical Physics: An Introduction
    4th edition, (Springer, Berlin, 2002).

  5. B.A. Berg,
    Markov Chain Monte Carlo Simulations and Their Statistical Analysis
    (World Scientific, Singapore, 2004).

  6. D.C. Rapaport,
    The Art of Molecular Dynamics Simulations
    2nd edition (Cambridge University Press, Cambridge, 2004).