期刊
JOURNAL OF CHEMICAL PHYSICS
卷 154, 期 17, 页码 -出版社
AIP Publishing
DOI: 10.1063/5.0048812
关键词
-
资金
- Los Alamos National Laboratory through the Darleane Christian Hoffman Distinguished Postdoctoral Fellowship
Inverse design strategies are useful for discovering self-assembly of interesting structures, but optimized particle interactions may not directly relate to experimental systems. Relative Entropy minimization can discover physically meaningful parameter sets that induce size-specific cluster self-assembly, even when optimized parameters are perturbed.
Inverse design strategies have proven highly useful for the discovery of interaction potentials that prompt self-assembly of a variety of interesting structures. However, often the optimized particle interactions do not have a direct relationship to experimental systems. In this work, we show that Relative Entropy minimization is able to discover physically meaningful parameter sets for a model interaction built from depletion attraction and electrostatic repulsion that yield self-assembly of size-specific clusters. We then explore the sensitivity of the optimized interaction potentials with respect to deviations in the underlying physical quantities, showing that clustering behavior is largely preserved even as the optimized parameters are perturbed.
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