In situ-formed iron
carbides (FeC
x
) are the key components
responsible for Fischer–Tropsch
synthesis (FTS, CO + H2 → long-chain hydrocarbons)
on Fe-based catalysts in industry. The true active site is, however,
highly controversial despite more than a century of study, which is
largely due to the combined complexity in both FeC
x
structures and mechanism of CO hydrogenation. Herein powered
by machine learning simulation, millions of structure candidates for
FeC
x
bulk and surfaces are explored under
FTS conditions, which leads to resolving the active site for CO activation.
This is achieved without a priori input from experiment
by first constructing the thermodynamics convex hull of bulk phases,
followed by identifying the low surface energy surfaces and evaluating
the adsorption ability of CO and H, and finally determining the lowest
energy reaction pathway of CO activation. Rich information on FeC
x
structures and CO hydrogenation pathways
is gleaned: (i) Fe5C2, Fe7C3, and Fe2C are the three stable bulk phases under FTS
in producing olefins, where Fe7C3 and Fe2C have multiple energetically nearly degenerate bulk crystal
phases; (ii) only three low surface energy surfaces of these bulk
phases, namely, χ-Fe5C2(510), χ-Fe5C2(111), and η-Fe2C(111), expose
the Fe sites that can adsorb H atoms exothermically, where the surface
Fe:C ratio is 2, 1.75, and 2, respectively; (iii) CO activation via
direct dissociation can occur at the surface C vacancies (e.g., with
a barrier of 1.1 eV) that are created dynamically via hydrogenation.
These atomic-level understandings facilitate the building of the structure–activity
correlation and designing better FT catalysts.