Figure5

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

Figure 5. Structure of the lowest-energy reconstruction of each surface and relative surface energies of low-energy reconstructions with respect to $$ \Delta \mu _\text{C} $$. (A) and (B) $$ \chi $$-Fe$$ _5 $$C$$ _2 $$(510) surface, (C) and (D) $$ \chi $$-Fe$$ _5 $$C$$ _2 $$(021) surface, (E) and (F) $$ \theta $$-Fe$$ _3 $$C(010) surface. When referring to $$ \chi $$-Fe$$ _5 $$C$$ _2 $$(510) surfaces, "Fe-" or "C-" denotes the Fe-terminated or C-terminated surface, respectively. The numbers in the names of surfaces [e.g., 6-15 in $$ \theta $$-Fe$$ _3 $$C(010) surface] represent the range of column numbers (counted from left to right) from which iron atoms have been removed. The cyan curve in (B) marked by "clean-rec" corresponds to the reconstructed $$ \chi $$-Fe$$ _5 $$C$$ _2 $$(510) surface reported by the previous work of Liu et al.[24].

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