Figure2

FT<sup>2</sup>DP: large atomic model fine-tuned machine learning potential for accelerating atomistic simulation of iron-based Fischer-Tropsch synthesis

Figure 2. Sketch-map visualization of the FT$$ ^2 $$DP downstream dataset. Each point of this map represents an individual atomic configuration. The position of each point is determined by t-SNE of the learned descriptor of FT$$ ^2 $$DP model, and its color indicates the corresponding formation energy of the structure. FT$$ ^2 $$DP: Fine-tuned Fischer-Tropsch deep potential; t-SNE: t-distribution stochastic neighbor embedding

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