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- W2093074146 abstract "Increasingly complex particles are pushing the limits of traditional simulation techniques used to study self-assembly. In this work, we test the use of a learning-augmented Monte Carlo method for predicting low energy configurations of patchy particles shaped like “Tetris®” pieces. We extend this method to compare it against Monte Carlo simulations with cluster moves and introduce a new algorithm—bottom-up building block assembly—for quickly generating ordered configurations of particles with a hierarchy of interaction energies." @default.
- W2093074146 created "2016-06-24" @default.
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- W2093074146 date "2009-09-09" @default.
- W2093074146 modified "2023-10-16" @default.
- W2093074146 title "A comparison of new methods for generating energy-minimizing configurations of patchy particles" @default.
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- W2093074146 doi "https://doi.org/10.1063/1.3223834" @default.
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