Thermodynamic Properties of Ice: A Monte Carlo Study
Statistical Mechanics
2020-10-13 v1 Disordered Systems and Neural Networks
Abstract
In this text, we implement a monte carlo algorithm to study thermodynamic properties of ice. Our program, written in Python, is open-sourced and available at https://github.com/AKnightWing/ColdAsIce. We develop a novel scheme to compute the residual entropy of a two dimensional lattice model of ice at absolute zero. A model of energetic ice is also considered and its thermodynamic properties are studied with temperature. We report a remarkable result for the energetic ice model, the presence of a phase transition at non zero temperatures.
Cite
@article{arxiv.2010.04964,
title = {Thermodynamic Properties of Ice: A Monte Carlo Study},
author = {Tanmay Bhore and Siddharth Chaini and Siddharth Bachoti and Vipin Khade and Vinay Patil},
journal= {arXiv preprint arXiv:2010.04964},
year = {2020}
}
Comments
11 pages, 19 figures