A machine learning approach to analyze the structural formation of soft matter via image recognition

T Terao, SOFT MATERIALS, 18, 215-227 (2020).

DOI: 10.1080/1539445X.2020.1715433

A novel method is developed to analyze the structural formation of colloidal particles based on image recognition via a convolutional neural network (CNN). This makes it possible to analyze various complex structures that are difficult to study using a traditional bond-order parameter analysis. Molecular dynamics simulations on soft colloidal systems are performed in quasi two-dimensional and three-dimensional systems, and the efficiency of the proposed method is demonstrated.

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