most citedPrediction of Atomization Energies of Au13+ Clusters through the Machine Learning Approach

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cond-mat.mtrl-sci2019★ 1 cited

Prediction of Atomization Energies of Au13+ Clusters through the Machine Learning Approach

Yasuharu Okamoto

We examine a new method for predicting the atomization energies of Au13+ clusters by a nonlinear regression model using interatomic and centroid distances as descriptors to improve…