24 citations · 37 across the 5 of their papers we have counts for
5 papers
Optimal schedules for annealing algorithms
Amin Barzegar, Firas Hamze, Christopher Amey +1
Annealing algorithms such as simulated annealing and population annealing are widely used both for sampling the Gibbs distribution and solving optimization problems (i.e. finding g…
Dispersed, condensed and self-limiting states of geometrically frustrated assembly
Nicholas W. Hackney, Christopher Amey, Gregory M. Grason
In self-assembling systems, geometric frustration leads to complex states characterized by internal gradients of shape misfit. Frustrated assemblies have drawn recent interest due…
Measuring glass entropies with population annealing
Christopher Amey, Jonathan Machta
We combine population annealing Monte Carlo and several thermodynamic integration techniques to measure equilibrium vibrational and configurational entropies in the metastable flui…
Analysis and Optimization of Population Annealing
Chris Amey, Jon Machta
Population annealing is an easily parallelizable sequential Monte Carlo algorithm that is well-suited for simulating the equilibrium properties of systems with rough free energy la…
Reply to Comment on "Non-monotonicity in the Quantum-Classical Transition: Chaos Induced by Quantum Effects"
Kyle Kingsbury, Chris Amey, Arie Kapulkin +1
Response to comment by Finn et al.