David Roundy
 Office 401B Weniger Hall, (541) 6020836
 email: roundyd@physics.oregonstate.edu
Curriculum Vitae and publication list (total citations > 3000)
Graduate Students
 Jordan Pommerenk

Jordan is leading the development of MonteCarlo algorithms and their application to liquidvapor systems. Current project goals include:
 Compare the accuracy and convergence of various algorithms at predicting the density of states for squarewell fluid.
 Formulate and develop new algorithms, as well as, make significant/substantial modifications to existing algorithms.
 Apply histogram methods to multiple ensembles including both canonical and grandcanonical.
 Kirstie Finster
 Kirstie is exploring the fluidsolid phase diagram of a WeeksChandlerAnderson (WCA) fluid. A WCA fluid is a model fluid with a softsphere potential in which the spheres, or "atoms", exhibit repulsion, but no attraction. She is using code that applies Soft Fundamental Measure Theory (SFMT), a classical density functional theory for soft spheres, to the WCA fluid to investigate crystallization.
Undergraduate Students
 Elliott Capek
 Elliott is studying the dynein motor protein. He is currently working on Brownian dynamics simulations of a twodimensional model of the dynein motor protein.
 John Waczak
 John is studying the dynein motor protein. He is working to determine the values of physical parameters for the 2 dimensional simulation of the dynein protein.
 Garrett Jepson
 Garrett is writing code for the molecular simulation library lumol.
 Chris May
 Soft spheres
 Tanner Simpson
 Broad histogram Monte Carlo methods
 Patrick Flynn
 Grand canonical broad histogram methods
 Cade Trotter
 Grand canonical broad histogram methods
 Lahiru Fernando
 A thermodynamics description of economics
Alums
 Brenden Vischer

B.S. 2016
The free energy of a liquid
Brenden studied the free energy of the square well fluid using Monte Carlo simulations.
 Ryan Scheirer

M.S. 2016
Exploring Phase Equilibrium with Statistical nonAssociating Fluid Theory: A Generalized Renormalization Group Theory Approach
 Billy Geerhart III

M.S. 2016
Finding the arbitrary parameter $L$ in Renormalization Group Theory via fitting Monte Carlo simulations to Statistical Associating Fluid Theory
 Eric Krebs

Ph.D. 2015
Theory of inhomogeneous fluids
Eric began at Oregon State in the fall of 2010, and began by working on a classical density functional for water. He improved our functional for water to benefit from Jeff's work on the hardsphere distribution function at contact. He also worked on developing a functional based on Soft Fundamental Measure Theory for notquitehard spheres.
 Austin Valeske

B.S. 2015
Determining free energies of hard sphere fluids via Monte Carlo simulation
 Patrick Kreitzberg

B.S. 2015
Monte Carlo simulations for a soft sphere fluid
 Michael Perlin

B.S. 2015
Optimizing Monte Carlo simulation of the squarewell fluid
 Josh Montegna

B.S. 2015
Determining the effective entropy of a visual hash system
 Jeff Schulte

Ph.D. 2015
Hard spheres within classical density functional theory and Min proteins within Escherichia Coli
Jeff has studied the inhomogeneous hard sphere fluid, and developed a functional describing the likelihood of finding spheres in contact as a function of position. He then developed a simulation of minD oscillations in bacteria, and a theory for the pair distribution function of the inhomogeneous hardsphere fluid.
 Daniel Roth

M.S. 2014
Applying Renormalization Group Theory to the Square Well Liquid
 Paho LurieGregg

B.S. 2014
The contact value approximation to the pair distribution function for an inhomogeneous hard sphere fluid
Paho also worked on Monte Carlo simulations of hardpolyhedron fluids.
 Rene Zeto
 B.S. 2014
 Testing the model for Min D protein oscillations in Escherichia coli
 Denny Jackson

Ph.D. 2011
An Isinglike model to predict the dielectric properties of the relaxor ferroelectric solid solution $\text{BaTiO}_3\text{Bi(Zn}_{\frac12}\text{Ti}_{\frac{1}{2}})\text{O}_3$
 Chris Haglund

Switched majors to Earth Science
Chris joined us in his sophomore year, and from 2011 to 2012 wrote our first Monte Carlo code to simulate the hard sphere fluid and find the probability of contact.
 Murray Wade

B.S. 2012
Creating a Thermodynamics Simulation Using the Ising Model: A Microcanonical Monte Carlo Approach
 Jessica Hughes

M.S. 2011
A Classical DensityFunctional Theory for Describing Water Interfaces
 Michael Nielson
 B.S. 2010
 Modeling the linear response function for broad frequency sound generation
 Steve Brinkley

B.S. 2010
Measuring the Acoustic Response Function with White Noise
 Jason Dagit

Computer Science M.S. 2009
Type Correct Changesâ€”A Safe Approach to Version Control Implementation
Jason got a Masters degree in Computer Science, working on the patch theory of darcs and ensuring its proper use via type witnesses.