Cluster growth process - Ovito rendering

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The blog post "Identifying Clusters Based on the Neighbor List Method—Condensation Nucleation Matlab+Ovito (Part 1)" gives the code for how to identify clusters. I won't go into details here, but only discuss the rendering process.

This case highlights the cluster formation and growth process. This case highlights the cluster formation and growth process.This case highlights the cluster formation and growth process.

1. Select cluster atoms and non-cluster atoms

1. Selection of cluster atoms

Here is the Dump \rm Dump identified by the programScreening performed by dump tracks. After selection, these atoms are temporarily deleted.

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2. Removal of non-cluster atoms

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2. Select cluster atoms and non-cluster atoms

1. Cluster Analysis

Screen out cluster atoms and use O vtio OvtioO v t i o 's built-in cluster analysis function,C cluster analysis \rm Cluster\ analysisCluster analysis

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It can be seen that Ovito can well identify the clusters in the system.
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2. Cluster specific information

Click on the cluster information to see the size and ID of each cluster, which can be output through Ovito
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3. Rendering clusters

1. Select the cluster

Here we first identify the atomic mark \rm mark according to the programmark information to filter.
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2. Obtain the result of cluster rendering

Deletes the atoms within the cluster, leaving only the rendered result.
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4. Rendering results

You can see the change process of the cluster and count the cluster information.
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5. Case dump download

Link: Please click
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Origin blog.csdn.net/qq_43689832/article/details/128506606