My research interests consist of algorithmic development of Monte Carlo methods for simulating systems in statistical physics and the use of current methods to investigate problems inspired by biochemistry. As an application, I carry out computer simulations of coarse-grained protein models, using Wang-Landau and multicanonical Monte Carlo sampling, with the goal of gaining insight into the protein folding process.
"Statistical Physics Meets Biochemistry: Wang-Landau Sampling of the HP Model of Protein Folding", A. C. K. Farris, T. Wüst, and D. P. Landau, Am. J. Phys., Manuscript in Preparation.
"A First Look at Lattice Effects in Coarse-Grained Protein Models via Wang-Landau Simulations", A. C. K. Farris, D. T. Seaton and D. P. Landau, J. Phys. Conf. Ser., Submitted (2018).
"Crambin Homologues in the H0P Lattice Protein Model", Z. Zhang, A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Phys. Conf. Ser., Submitted (2018).
"Histogram-Free Multicanonical Monte Carlo Sampling to Calculate the Density of States", A. C. K. Farris, Y. W. Li, and M. Eisenbach, Comput. Phys. Commun., Accepted (2018).
"The Role of Chain-Stiffness in Lattice Protein Models: A Replica-Exchange Wang-Landau Study", A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Chem. Phys. 149, 125101 (2018).
"Effects of Stiffness on Low Energy States in a Lattice Protein Model for Crambin", A. C. K. Farris, G. Shi, T. Wüst, and D. P. Landau, J. Phys.: Conf. Ser. 1012, 012008 (2018).
"Folding in a semi-flexible lattice model for Crambin", G. Shi, A. C. K. Farris, T. Wüst, and D. P. Landau, J. Phys.: Conf. Ser. 686, 012001 (2016).
"Renormalization group solution of the Chutes & Ladder model", L. A. Ball, A. C. K. Farris, and S. Boettcher, Physica A 421, 171-179 (2015).