Enhanced sampling
6 upcoming events
Young Modellers’ Forum (YMF)
The Young Modellers' Forum (YMF) is the annual flagship event of the MGMS, marking its 30th edition in 2026. It will be held on 20 November at Lady Margaret Hall, University of Oxford. The forum is a free-to-attend event for PhD students working in computational chemistry and biology, featuring 12 oral presentations, 12 poster presentations with lightning talks, and prizes for the best presentations. Abstract submission deadline is 16 October 2026.
40th Molecular Simulation Symposium
The 40th Molecular Simulation Symposium, organized by the Society for Molecular Simulation, will take place December 7-9, 2026, at Kyushu University Medical School Centennial Hall. It is co-organized with the Japan Society for Molecular Science.
MolSim 2027
MolSim 2027 is a two-week school focusing on basic and advanced molecular simulation methods for PhD candidates and postdocs in physics, chemistry, and biology. The program combines lectures and hands-on exercises, covering statistical mechanics, Monte Carlo, molecular dynamics, free energy calculations, rare events, machine learning, and spectroscopic properties of condensed-phase systems. Organized by the Computational Chemistry group at the University of Amsterdam, part of the Amsterdam Center for Multiscale Modelling, it is an activity of the Dutch node of CECAM (CECAM-NL).
Stochastic Dynamics in Natural and Artificial Systems
The CECAM Flagship Workshop on Stochastic Dynamics in Natural and Artificial Systems, held in Israel from January 11 to 14, 2027. This multidisciplinary workshop integrates insights from physics, chemistry, biology, and engineering to study stochastic processes, anomalous diffusion, non-equilibrium statistical mechanics, and stochastic resetting in biological and artificial systems. It aims to bring together researchers to discuss theoretical, computational, and experimental advances in these areas.
Detours and Shortcuts Outside Equilibrium
Workshop on anomalous relaxation, the Mpemba effect, and shortcuts to equilibrium, connecting classical/quantum thermalization with optimal control and information thermodynamics.
Self-assembly of materials: merging direct experiments with simulations at different resolutions and data science techniques
Workshop on the self-assembly of materials, focusing on bridging synthesis and modeling by merging direct experiments with multi-scale simulations and data science. It addresses the serendipitous nature of materials discovery and the lack of synthesis condition data. The event aims to summarize computational developments and discuss key challenges, including bridging simulations and experiments, tackling the multi-scale nature of self-assembly, and merging simulation with data science to understand molecular-level mechanisms of nucleation and phase transitions.