fig2

Phthalonitrile melting point prediction enabled by multi-fidelity learning

Figure 2. (A) Gene combination strategy for creating virtual PN molecules. Specific spacers and substituents are combined into the template to generate a vast candidate space; (B) Two-dimensional distribution of the sampling space and candidate space generated by t-SNE analysis. Sampling structures (in yellow) evenly cover the entire candidate space (in green), indicating that the sampling is representative and can avoid selecting too many similar structures. PN: Phthalonitrile; t-SNE: t-distributed stochastic neighbor embedding.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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