Efficient tight-binding Monte Carlo structural sampling of complex materials
Parthapratim Biswas, G. T. Barkema, Normand Mousseau, W. F. van der Weg
Abstract
While recent work towards the development of tight-binding and ab-initio algorithms has focused on molecular dynamics, Monte Carlo methods can often lead to better results with relatively little effort. We present here a multi-step Monte Carlo algorithm that makes use of the possibility of quickly evaluating local energies. For the thermalization of a 1000-atom configuration of a-Si, this algorithm gains about an order of magnitude in speed over standard molecular dynamics. The algorithm can easily be ported to a wide range of materials and can be dynamically optimized for a maximum efficiency.
Create a lesson
Related papers
Typical number and stability of equilibria in large non-reciprocal complex systems
Bertrand Lacroix-A-Chez-Toine, Pierre Le Doussal, Valentina Ros
Thermodynamic geometry of three coupled Ising spins: exact curvature, frustration and bond anisotropy
Zahra Ebadi, Nayyere Einali Saghavaz, Omid Yahyayi Monem et al.
Galois conjugation, droplet growth, and the differential transcendence of the Ising model in nonzero field
Ran Luo, Jiahua Tian
Masked diffusion as random sequential adsorption: an exactly solvable model for parallel decoding
Adrian Baule
Emergent Symmetry in Constant-Density Flocks
Hugues Chaté, Alexandre Solon
Solvable macroscopic models for populations of type I excitability neurons with Gaussian noise
Maria V. Ageeva, Denis S. Goldobin