Search Results for author: Kevin Ryczko

Found 3 papers, 0 papers with code

Machine Learning Diffusion Monte Carlo Energies

no code implementations9 May 2022 Kevin Ryczko, Jaron T. Krogel, Isaac Tamblyn

We present two machine learning methodologies that are capable of predicting diffusion Monte Carlo (DMC) energies with small datasets (~60 DMC calculations in total).

BIG-bench Machine Learning regression +1

Twin Neural Network Regression

no code implementations29 Dec 2020 Sebastian J. Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn

The solution of a traditional regression problem is then obtained by averaging over an ensemble of all predicted differences between the targets of an unseen data point and all training data points.

regression

Extensive deep neural networks for transferring small scale learning to large scale systems

no code implementations17 Aug 2017 Kyle Mills, Kevin Ryczko, Iryna Luchak, Adam Domurad, Chris Beeler, Isaac Tamblyn

We demonstrate the application of EDNNs to three physical systems: the Ising model and two hexagonal/graphene-like datasets.

Computational Physics Materials Science

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