We investigate the critical behavior of three-dimensional antiferromagnetic CP N−1 (ACP N−1 ) models in cubic lattices, which are characterized by a global U(N ) symmetry and a local U(1) gauge symmetry. Assuming that critical fluctuations are associated with a staggered gauge-invariant (hermitian traceless matrix) order parameter, we determine the corresponding Landau-GinzburgWilson (LGW) model. For N = 3 this mapping allows us to conclude that the three-component ACP 2 model undergoes a continuous transition that belongs to the O(8) vector universality class, with an effective enlargement of the symmetry at the critical point. This prediction is confirmed by a detailed numerical comparison of finite-size data for the ACP 2 and the O(8) vector models. We also present a renormalization-group (RG) analysis of the LGW theories for N ≥ 4. We compute perturbative series in two different renormalization schemes and analyze the corresponding RG flow. We do not find stable fixed points that can be associated with continuous transitions.

We investigate systems of interacting bosonic particles confined within slab-like boxes of size L 2 ×Z with Z ≪ L, at their three-dimensional (3D) BEC transition temperature Tc, and below Tc where they experience a quasi-2D Berezinskii-Kosterlitz-Thouless transition (at TBKT < Tc depending on the thickness Z). The low-temperature phase below TBKT shows quasi-long-range order: the planar correlations decay algebraically as predicted by the 2D spin-wave theory. This dimensional crossover, from a 3D behavior for T Tc to a quasi-2D critical behavior for T TBKT, can be described by a transverse finite-size scaling limit in slab geometries. We also extend the discussion to the offequilibrium behavior arising from slow time variations of the temperature across the BEC transition. Numerical evidence of the 3D→2D dimensional crossover is presented for the Bose-Hubbard model defined in anisotropic L 2 × Z lattices with Z ≪ L.

Transitions between different conformational states are ubiquitous in proteins, being involved in signaling, catalysis, and other fundamental activities in cells. However, modeling those processes is extremely difficult, due to the need of efficiently exploring a vast conformational space in order to seek for the actual transition path for systems whose complexity is already high in the stable states. Here we report a strategy that simplifies this task attacking the complexity on several sides. We first apply a minimalist coarse-grained model to Calmodulin, based on an empirical force field with a partial structural bias, to explore the transition paths between the apo-closed state and the Ca-bound open state of the protein. We then select representative structures along the trajectory based on a structural clustering algorithm and build a cleaned-up trajectory with them. We finally compare this trajectory with that produced by the online tool MinActionPath, by minimizing the action integral using a harmonic network model, and with that obtained by the PROMPT morphing method, based on an optimal mass transportation-type approach including physical constraints. The comparison is performed both on the structural and energetic level, using the coarse-grained and the atomistic force fields upon reconstruction. Our analysis indicates that this method returns trajectories capable of exploring intermediate states with physical meaning, retaining a very low computational cost, which can allow systematic and extensive exploration of the multi-stable proteins transition pathways.