Unsupervised learning of sequence-specific aggregation behavior for a model copolymer
Unsupervised machine learning is applied to study the disordered aggregates of a model sequence defined macromolecule. Using these learned collective variables provides new insight into both the structure and kinetics of these aggregates.
|Work Title||Unsupervised learning of sequence-specific aggregation behavior for a model copolymer|
|License||In Copyright (Rights Reserved)|
|Publisher Identifier (DOI)||
|Deposited||May 27, 2022|
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