Demystifying the Chemical Ordering of Multimetallic Nanoparticles
Published in Accounts of Chemical Research, 2023
This work presents a novel method to initiate model weights for predicting the chemical ordering of multimetallic nanoparticles, leading to a 71% reduction in RMSE on the datasets investigated. The approach combines machine learning with evolutionary optimization to accurately predict material properties.
Recommended citation: Dennis Johan Loevlie, Brenno Ferreira, and Giannis Mpourmpakis. (2023). "Demystifying the chemical ordering of multimetallic nanoparticles." Accounts of Chemical Research. 56(3):248–257.
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