748 citations · 1.3k across the 14 of their papers we have counts for
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Grand canonical ensemble simulation studies of polydisperse fluids
Nigel B. Wilding, Peter Sollich
We describe a Monte Carlo scheme for simulating polydisperse fluids within the grand canonical ensemble. Given some polydisperse attribute , the state of the system is described…
Fluctuation-dissipation relations and effective temperatures in simple non-mean field systems
P Sollich, S Fielding, P Mayer
We give a brief review of violations of the fluctuation-dissipation theorem (FDT) in out-of-equilibrium systems; in mean field scenarios the corresponding fluctuation-dissipation (…
Predicting phase equilibria in polydisperse systems
Peter Sollich
Many materials containing colloids or polymers are polydisperse: They comprise particles with properties (such as particle diameter, charge, or polymer chain length) that depend co…
Gaussian Process Regression with Mismatched Models
Peter Sollich
Learning curves for Gaussian process regression are well understood when the `student' model happens to match the `teacher' (true data generation process). I derive approximations…
Learning curves for Gaussian process regression: Approximations and bounds
Peter Sollich, Anason Halees
We consider the problem of calculating learning curves (i.e., average generalization performance) of Gaussian processes used for regression. On the basis of a simple expression for…