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Found 2 papers, 1 papers with code
Persistent homology-based descriptor for machine-learning potential of amorphous structures
A promising method to achieve this is machine-learning potentials, which is an alternative to computationally demanding ab initio calculations.
Persistence Diagrams with Linear Machine Learning Models
Persistence diagrams have been widely recognized as a compact descriptor for characterizing multiscale topological features in data.
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