My research interests center around Monte Carlo simulations and their application to biochemistry-inspired problems in statistical physics.
Research Interest 1: Development and analysis of phenomenological models for protein folding using Wang-Landau and Multicanonical sampling, with the goal of gaining insight into the protein folding process as well as understanding the limitations associated with various levels of coarse-graining.
Research Interest 2: Development of new Monte Carlo algorithms for use in computational statistical physics. Specifically, the development of simulational frameworks that may prove particularly useful for systems with continuous state variables.
"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., Accepted (2019).
"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., Accepted (2019).
"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., 87, 4 (2019). [Editors' Pick]
"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., 235, 297-304 (2019).
"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).