Replication files for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas, Z. Ding, L. S. Matthews and T. W. Hyde, Machine Learning Science and Technology, accepted February 2021. https://iopscience.iop.org/article/10.1088/2632-2153/abe7b7
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Replication Data for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas
Mar 25, 2021
Matthews, Lorin; Ding, Zhiyue; Hyde, Truell, 2021, "Replication Data for: A machine learning-based Bayesian optimization solution to nonlinear responses in dusty plasmas", https://doi.org/10.18738/T8/2YVAGU, Texas Data Repository, V1
Python code for machine learning method to extract coefficients for equation of motion of two interacting dust particles in a plasma environment. Data from experimental measurement of the thermal motion of two vertically-aligned particles are given in the Matlab workspace.
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