New methods in Monte Carlo simulations: parallel, adaptive, irreversible

September 2, 2019 to September 4, 2019
Location : CECAM-HQ-EPFL, Lausanne, Switzerland
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  • Martin Weigel (Applied Mathematics Research Centre, Coventry University, United Kingdom)
  • Wolfhard Janke (Institut für Theoretische Physik, Universität Leipzig, Germany)




In line with CECAM's intention, the workshop will be centered around discussions. A number of overview presentations by established leaders in the field will be combined with additional contributed talks presenting recent studies in more detail. Additional presentations of participants, in particular graduate students, will be given as poster presentations. Discussions are encouraged via the following means:

* ample discussion time (15 minutes after overview presentations and 10 minutes after contributed talks) after each presentation
* three poster sessions, with posters being introduced in a poster flash session on day 1
* common lunches and dinners, ensuring sufficient time to continue discussions outside of the seminar room
* a plenary discussion, led by a senior participant such as Daan Frenkel, about the general direction of the field, focused on the distillation of the key results and open questions going forward, to be held on the last day

Taking these considerations into account, a tentative schedule for the event is shown below. While this is not a final schedule, all but one of the core participants have already confirmed their participation, such that the final schedule will mainly only need to accommodate the additional contributed presentations. The titles indicated for the presentations are naturally tentative at this point, and they correspond to the proposers' idea of each speaker's contribution to the workshop.


[1] F. Liang, C. Liu, and R. J. Carroll, J. Am. Stat. Assoc. 102, 305–320 (2007); T. Vogel, Y. W. Li, T. Wüst, and D. P. Landau, Phys. Rev. Lett. 110, 210603 (2013); J. Gross, J. Zierenberg, M. Weigel, and W. Janke, Comput. Phys. Commun. 224, 387–395 (2018).
[2] E. P. Bernard, W. Krauth, and D. B. Wilson, Phys. Rev. E 80, 056704 (2009); S. C. Kapfer and W. Krauth, Phys. Rev. Lett. 119, 240603 (2017).
[3] V. Martin-Mayor, Phys. Rev. Lett. 98, 137207 (2007); P. Schierz, J. Zierenberg, and W. Janke, Phys. Rev. E 94, 021301 (2016); J. Zierenberg, P. Schierz, and W. Janke, Nat. Commun. 8, 14546 (2017).
[4] E. Flores-Sola, M. Weigel, R. Kenna, and B. Berche, Eur. Phys. J. Special Topics 226, 581 (2017); M. Michel, X. Tan, and Y. Deng, “Clock Monte Carlo methods,” Preprint arXiv:1706.10261 (2017).
[5] P. Diaconis, S. Holmes, and R. M. Neal, Annals of Applied Probability 10, 726 (2000); K. S. Turitsyn, M. Chertkov, and M. Vucelja, Physica D 240, 410–414 (2011); H. C. M. Fernandes and M. Weigel, Comput. Phys. Commun. 182, 1856–1859 (2011).
[6] J. G. Propp and D. B. Wilson, Rand. Struct. Alg. 9, 223 (1996).
[7] K. Hukushima and Y. Iba, AIP Conf. Proc. 690, 200–206 (2003); J. Machta, Phys. Rev. E 82, 026704 (2010); L. Y. Barash, M. Weigel, M. Borovsky, W. Janke, and L. N. Shchur, Comput. Phys. Commun. 220, 341–350 (2017).
[8] C. Dellago and P. G. Bolhuis, “Transition path sampling and other advanced simulation techniques for rare events,” in Advanced Computer Simulation Approaches for Soft Matter Sciences III (Springer, Berlin, 2009), pp. 167–233.
[9] R. J. Allen, D. Frenkel, and P. R. ten Wolde, J. Chem. Phys. 124, 024102 (2006).
[10] A. K. Hartmann, Eur. Phys. J. B 84, 627–634 (2011).
[11] J. Carrasquilla and R. G. Melko, Nat. Phys. 13, 431 (2017); P. Broecker, J. Carrasquilla, R. G. Melko, and S. Trebst, Sci. Rep. 7, 8823 (2017); J. Liu, Y. Qi, Z. Y. Meng, and L. Fu, Phys. Rev. B 95, 041101 (2017); L. Wang, “Can Boltzmann Machines Discover Cluster Updates?,” Preprint arXiv:1702.08586 (2017).