Inverse iron oxide/metal catalysts from galvanic replacement

ABSTRACT Key chemical transformations require metal and redox sites in proximity at interfaces; however, in traditional oxide-supported materials, this requirement is met only at the

perimeters of metal nanoparticles. We report that galvanic replacement can produce inverse FeOx/metal nanostructures in which the concentration of oxide species adjoining metal domains is

maximal. The synthesis involves reductive deposition of rhodium or platinum and oxidation of Fe2+ from magnetite (Fe3O4). We discovered a parallel dissolution and adsorption of Fe2+ onto the

metal, yielding inverse FeOx-coated metal nanoparticles. This nanostructure exhibits the intrinsic activity in selective CO2 reduction that simple metal nanoparticles have only at

interfaces with the support. By enabling a simple way to control the surface functionality of metal particles, our approach is not only scalable but also enables a versatile palette for

catalyst design. SIMILAR CONTENT BEING VIEWED BY OTHERS STRONG METAL–SUPPORT INTERACTIONS ON GOLD NANOPARTICLE CATALYSTS ACHIEVED THROUGH LE CHATELIER’S PRINCIPLE Article 10 May 2021 HIGHLY

ACTIVE, ULTRA-LOW LOADING SINGLE-ATOM IRON CATALYSTS FOR CATALYTIC TRANSFER HYDROGENATION Article Open access 20 October 2023 INVERSE CATALYSTS: TUNING THE COMPOSITION AND STRUCTURE OF OXIDE

CLUSTERS THROUGH THE METAL SUPPORT Article Open access 10 January 2025 INTRODUCTION Metal particles play a key role in chemical transformations that require activation of H2 or

hydrogenation/dehydrogenation of substrates. In many cases, the metal particles provide only one step in the catalytic cycle. For instance, metals have low activity in CO2 reduction because

of weak CO2 adsorption, whereas the polar surface of oxides readily adsorbs CO2 but suffers from low activity for H2 activation1,2,3. Thus, metal–oxide interfaces are much more effective

because both the redox sites required to activate CO2 and the metals providing active H2 are in proximity. Challenges for maximizing such interfaces are stabilizing small metal particles on

oxide supports4,5,6,7 or forcing migration of oxides onto metal particles while avoiding harsh synthesis conditions8,9,10,11,12. Inverse catalysts—oxides supported on metals—offer an

attractive alternative to overcome the constraints of typical supported metal catalysts because reactants can bind to sites in the oxide overlayer, onto the metal domains, or at their

interface. Typically, surface science research selects only well-defined inverse catalysts to provide a basic understanding of their adsorption and catalytic properties; however, advancing

from this approach into the more complex conditions relevant to technical applications is essential13,14,15,16. In this regard, a major obstacle is encountered because typical surface

science approaches for preparing inverse catalysts, such as reduction at high temperature12, deposition in ultrahigh vacuum1,13, and deposition at atomic layers17, are challenging to scale

beyond certain models. We report here a simple galvanic replacement approach for generating inverse FeOx/metal nanostructures. During galvanic replacement, one metal dissolves as a

sacrificial template while a different metal ion in solution is reductively deposited onto the template. This process is driven by the differences of reduction potentials of the redox pairs,

allowing a single, simple, and low-temperature step for synthesis of nanostructures18,19,20,21,22,23. Following this, research has focused on preparing metals18, metal alloys19,24,

oxides21, and metal–oxides25,26 with controllable shapes. In our case, the solid support undergoing oxidation—hyperstoichiometric and sometimes referred to as cation-excess or partially

reduced magnetite (Fe3O3.7)27—supplies electron equivalents in the form of Fe2+ enriched at the oxide surface, which reduce Rh3+ or Pt4+, thereby depositing metal nanostructures (Eqs. 

(1)–(3)). $${\rm{Rh}}^{3+} + 3e^ - \to {\rm{Rh}}.$$ (1) $${\rm{Fe}}^{2 + } \to {\rm{Fe}}^{3 + } + {\rm{e}}^ -.$$ (2) $${\rm{Rh}}^{3 + } + 3{\rm{Fe}}^{2 + } \to {\rm{Rh}} + 3{\rm{Fe}}^{3 +

}.$$ (3) We discovered that in addition to acting as sacrificial species, Fe2+ dissolves, and adsorbs onto the as-formed metal particles as Fe(II)-oxyhydroxide. The surface property of the

metal is thus greatly changed by the FeO_x_ overlayer, endowing the nanostructure with the high density of active sites for CO2 reduction that well-dispersed Rh particles have only at the

interface with Fe3O4. This yields activity and selectivity for CO production significantly higher than well-dispersed Rh particles without FeO_x_ overlayers. Our method demonstrates that the

surface of metal nanoparticles can be manipulated by the sacrificial species during galvanic replacement, whereas galvanic replacement was previously thought to control only nanostructure

morphologies. RESULTS AND DISCUSSION IDENTIFICATION OF FEO_X_ OVERLAYER ON RH We performed the synthesis by simply suspending Fe3O3.7 (“Methods” section and Supplementary Fig. 1 for

synthesis) in aqueous RhCl3 solution (Fig. 1a), yielding the as-prepared material (FeO_x_/Rh/Fe3O4-fresh). High-angle annular dark-field scanning tunneling electron microscopy (HAADF-STEM)

imaging of FeO_x_/Rh/Fe3O4-fresh (Fig. 1b and Supplementary Figs. 2–5) showed that the deposited nanostructures distribute along the whole surface of Fe3O4 with the average size of 6.6 nm.

These nanostructures seem to be composed by smaller Rh nanoparticles of around 2 nm. The nanosized structures were further examined by electron energy-loss spectroscopy (EELS) while

manipulating the sample to avoid overlapping with the support along _z_-axis. Maps of Rh L2,3 and Fe L2,3 edges (Fig. 1b and Supplementary Figs. 3–5) show Fe signals in regions of the Rh

domains. The line profile indicates that significant amounts of Fe coincide with Rh particles. The Fe spectra from the Rh domains give a lower loss energy (by 0.7 eV) than the signal from

Fe3O4 (Supplementary Fig. 3). This indicates that the Fe on Rh nanostructures have a lower average oxidation state (i.e., +2) than that in Fe3O4 (+8/3). Rh K-edge X-ray absorption near edge

structure (XANES, Supplementary Fig. 3) showed that the white-line of FeO_x_/Rh/Fe3O4-fresh is similar to that of Rh foil. Linear combination fitting indicated that 77 mol.% of Rh is

metallic (Supplementary Fig. 3 and Supplementary Table 1). This agrees well with the Rh extended X-ray absorption fine-structure (EXAFS) fitting showing that the Rh species have high Rh–Rh

coordination (Supplementary Fig. 6 and Supplementary Table 2). The fitting of the spectra required a Rh–O path with a coordination number of 1.9 ± 0.5. Thus, 23 mol.% of Rh remains oxidized,

probably because of its interaction with the FeO_x_ species (Supplementary Table 1). The results indicated that inverse FeO_x_/Rh nanostructures were formed where Rh was reductively

deposited while Fe(II)-oxyhydroxide species bind onto the Rh. MECHANISM FOR THE FORMATION OF FEO_X_ OVERLAYER We used the ferrozine method28 to monitor changes of Fe3+ and Fe2+

concentrations during synthesis of FeO_x_/Rh/Fe3O4-fresh (Fig. 1c). Fe2+ was released immediately after Fe3O3.7 was dispersed in the solution of Rh3+, which is consistent with the acidic

Fe3O4 oxidation chemistry (Eq. (4))27 because Fe2+ is much more soluble than Fe3+, and the solution is initially free of aqueous Fe2+ upon first contact the Rh3+ solution. The pH was

observed to initially drift upwards from ~4 to 5, which is consistent with consumption of protons during the release (see section of methods for pH changes). $$ \left[ {\rm{{Fe}}^{3 + }}

\right]_2\left[ {\rm{{Fe}}^{2 + }} \right]{\rm{O}}_{3.7}\left( {\rm{s}} \right) + 2{\rm{H}}^ + \left( {\rm{{aq}}} \right) \to \frac{3}{4}\left\{ {\left[ {{\rm{Fe}}^{3 + }}

\right]_{\frac{8}{3}}\left[ {\rm{{Vacancy}}} \right]} \right\}{\rm{O}}_{3.7}\left( {\rm{s}} \right) \\ + {\rm{H}}_2{\rm{O}} + {\rm{Fe}}^{2 + }\left( {{\rm{aq}}} \right).$$ (4) The particle

surface will be enriched in Fe2+ during the Fe2+ release into solution29, thereby maintaining a dynamic equilibrium27. In parallel, Rh3+ was reduced and deposited as the nanostructures that

adsorb and bind Fe(II)-oxyhydroxide during the progressive Fe2+ accumulation on the Fe3O4 surface (see below). This leads to a gradual reversal of the reaction in Eq. (4), detectable by a pH

decrease from ~5 to 2.5 and an increase in Fe3+ in solution, reaching equilibrium after 3 h synthesis time. Note that if Rh3+ and Fe2+ (Rh3+:Fe2+ = 1:3) were mixed at the conditions of the

galvanic replacement, neither Rh nor FeO_x_ particles are observed by HAADF-STEM. Thus, Rh nucleation and growth requires the Fe3O4 surface and productions of Fe2+ and Fe3+ in solution

follow different mechanisms. Because formation of metallic Rh is accompanied by increasing detectable aqueous Fe3+ (Eq. (3)) and consumption of Fe2+ (Fig. 1c), we attribute the

Fe(II)-oxyhydroxide coating on Rh particles to the dynamic equilibrium of the Fe2+ release process (i.e., the reverse of Eq. (4))27,29. To confirm the selective interaction of Fe2+ with Rh,

we contacted pre-formed Rh nanoparticles with solutions containing either Fe2+ or Fe3+ cations and analyzed the recovered particles (Fig. 1d). The syntheses of these reference materials are

described in the section of methods. The EELS images showed that Fe2+ species adsorb on the Rh surface to form a core-shell-like nanostructure (Fig. 1e), whereas Fe3+ species precipitate as

a segregated phase with only weak association with Rh (Fig. 1f). Overall, the charge transfer of galvanic replacement consumes Fe2+ supplied by Fe3O4 for Rh3+ reduction yielding Rh particles

(Fig. 2a). In parallel, Fe2+ released from the solid (Fig. 2b) adsorbs selectively on Rh (Fig. 2c). In order to verify the generality of our methodology to prepare inverse nanostructures,

we also performed the galvanic replacement between the Pt4+ cations and Fe3O3.7. The HAADF-STEM-EELS showed that FeO_x_ species coat the Pt nanoparticles (Supplementary Fig. 7). Hence,

during the synthesis of FeO_x_/metal nanostructures, the Fe2+ is not only a sacrificial species as one expects from the galvanic replacement alone, but a key constituent for tuning the

surface of the metal nanoparticles. The method offers many possibilities to tune the properties and structures of the final materials by controlling the rates of the individual processes

taking place during the synthesis. Further work to control the metal particle size and FeO_x_ coverage is ongoing. COMPARISON OF FEO_X_-COVERED AND BARE RH PARTICLES SUPPORTED ON FE3O4 We

compared the inverse catalyst with Fe3O4-supported 1–2 nm Rh particles (Rh/Fe3O4) in CO2 hydrogenation. This reference was prepared by precipitating Rh3+ on Fe3O4 followed by treatment in

air and reduction at 200 °C in H2 (Supplementary Fig. 8 for the Rh particle size distribution). To remove possible adsorbates remaining from synthesis and handling, the FeO_x_/Rh/Fe3O4-fresh

material was treated at the same conditions as Rh/Fe3O4, yielding the material denoted as FeO_x_/Rh/Fe3O4. This material showed the same features of the parent FeO_x_/Rh/Fe3O4-fresh. That

is, the dispersed FeO_x_ species still decorated the metallic Rh particles (Fig. 3a–f and Supplementary Fig. 9). The inverse FeO_x_/Rh nanostructure was unaltered by the heat treatment, in

agreement with the lower surface energy of iron oxide (Fig. 3h and Supplementary Table 3), which tends to wet the Rh surface13. According to XANES (Fig. 3g) and EXAFS results (Fig. 4a), Rh

in both FeO_x_/Rh/Fe3O4 and Rh/Fe3O4 are mainly metallic with a Rh–Rh distance of 2.68 Å. The Rh–Rh coordination number for FeO_x_/Rh/Fe3O4 is ~8.9 while for Rh/Fe3O4 it is 6.7

(Supplementary Tables 4 and 5 and Supplementary Figs. 10 and 11). This suggests that the Rh dispersion of FeO_x_/Rh/Fe3O4 was lower than Rh/Fe3O4 (i.e., 56% and 82%, respectively)

(Supplementary Fig. 12). The difference in Rh dispersion was supported by time-of-flight secondary ion mass spectrometry (TOF-SIMS), which showed more abundant Rh2O+ fragments for

FeO_x_/Rh/Fe3O4 than for Rh/Fe3O4 (Supplementary Fig. 13). In contrast to the EXAFS of FeO_x_/Rh/Fe3O4 showing 56% Rh dispersion, H2 chemisorption indicates that only 5.6% of Rh is available

to adsorb H2 (Fig. 4b and Supplementary Table 6). The discrepancy between EXAFS and H2 chemisorption is clearly due to the presence of FeO_x_ overlayer. For Rh/Fe3O4, H2 chemisorption

suggests a 70% dispersion, which is in good agreement with EXAFS results (i.e., most of the surface Rh atoms in the nanoparticles are available to adsorb H2). Both FeO_x_/Rh/Fe3O4 and

Rh/Fe3O4 have the same adsorption equilibrium constant for H2 chemisorption (~7, Supplementary Table 6). Therefore, metallic Rh atoms are the sites for H2 activation on both materials.

CATALYTIC IMPROVEMENT BY THE FEO_X_ OVERLAYER We targeted CO2 hydrogenation to test the activity of our inverse catalysts. Thus, we measured isotherms for CO2 adsorption (Fig. 4c), which

showed that FeO_x_/Rh/Fe3O4 can adsorb more CO2 than Rh/Fe3O4 and pure Fe3O4 (Supplementary Table 6) (i.e., 7.2, 4.3, and 2.2 μmolCO2 g−1, respectively, at 33 kPa). The adsorption

equilibrium constant for FeO_x_/Rh/Fe3O4 also is higher than for Rh/Fe3O4 (i.e., 100 and 51, respectively) (Fig. 4c and Supplementary Table 6). Thus, the adsorption sites on the inverse

FeO_x_/Rh catalyst have stronger interactions with CO2 than the sites in Rh/Fe3O4. The differences in adsorption capacity and strength have important consequences in the coverages of

molecular species during the reaction (Supplementary Table 7 and Supplementary Figs. 14 and 15), and thus the catalytic performance described below. The inverse FeO_x_/Rh/Fe3O4 catalyst

showed high activity for CO2 reduction per mol of surface Rh (determined from the Rh–Rh coordination number from EXAFS analysis) compared to that of Rh/Fe3O4 (Fig. 4d). We used this

normalization to reflect the surface of the catalysts that is potentially active, i.e., Rh with or without interactions with the support (note however, these trends are the same per mass of

catalyst and mass of Rh). The selectivity to CO and the corresponding CO production rates are also higher on FeO_x_/Rh/Fe3O4 than on Rh/Fe3O4 (Fig. 4e, f). This highlights the higher

activity of the FeO_x_-coated particles than simple supported Rh particles. We analyzed the intrinsic activity of the materials not by normalizing rates to the fraction of exposed Rh (as

determined from H2 chemisorption) nor to the fraction of Rh covered by oxide species (Supplementary Table 8 and Supplementary Note). Instead, we considered that the uptake of CO2 serves as

titration of adsorption sites that can potentially produce CO (see the supporting information for more details). The rates of CO production normalized to the concentration of sites that

chemisorb CO2 were, e.g., 1657 and 1222 h−1 on FeO_x_/Rh/Fe3O4 and Rh/Fe3O4, respectively, at 250 °C. The similarity of these values, and of the activation energies for CO production (Fig. 

4f), allows us concluding that the highly active and selective sites in both systems are similar. These sites, in view of the negligible activity of SiO2-supported Rh and pure Fe3O4

(Supplementary Table 8) are undoubtedly identified as Rh–Fe3O4 interfaces30,31,32,33. We also tested the FeO_x_/Rh nanoparticles (Fig. 1e) and the parent Rh nanoparticles in CO2 reduction

(Supplementary Table 9). The FeO_x_/Rh nanoparticles were one order of magnitude more active than the bare Rh nanoparticles. The bare Rh nanoparticles produced both CO and methane in

equimolar concentrations, while FeO_x_/Rh nanoparticles selectively yielded CO. These observations further support our claim that the FeO_x_ adlayers increase the activity for CO2 conversion

and the selectivity to CO. The FeO_x_/Rh nanoparticles, however, led to 1–2 orders of magnitude lower rate for CO2 reduction than the inverse FeO_x_/Rh/Fe3O4 catalyst, which highlights the

role of the Fe3O4 support, which maintains the FeO_x_/Rh nanoparticles separated. The FeO_x_/Rh/Fe3O4 inverse catalyst is also more productive than typical supported noble-metal

nanoparticles and atomically dispersed Rh (Supplementary Table 10). Thus, leaving some exposed Rh on the surface of FeO_x_/Rh/Fe3O4 does not lead to low activity because the surface behaves

like Rh–Fe3O4 interfaces. In summary, this galvanic replacement approach to prepare inverse FeO_x_/metal nanostructures not only yields particularly compelling catalytic reactivity under

real conditions but is versatile and easily scalable13,17,34. The ability to control the surface functionality of metal nanoparticles enables a palette for catalyst design via galvanic

replacement. The presence of the oxide overlayer makes the metal much more efficient for activating CO2 while maintaining its hydrogenation ability. That is, the whole surface of the metal

particle functions as metal/oxide interface with redox sites for adsorbing CO2 near metal domains that dissociate H2 but with limited capacity to produce methane. METHODS MATERIALS The

chemicals including magnetite (Fe3O4) nanoparticles (50–100 nm), RhCl3 (37% Rh), rhodium (III) nitrate hydrate (Rh(NO3)3·H2O), FeCl2 (≥99.0%), FeCl3 (≥99.0%), urea (99.0–100.5%),

polyvinylpyrrolidone (PVP), and ethylene glycol were purchased from Sigma-Aldrich. The deionized water was obtained from a Milli-Q water system. SYNTHESIS OF FEO_X_/RH/FE3O4-FRESH,

FEO_X_/RH/FE3O4 AND FEO_X_/PT/FE3O4-FRESH The FeO_x_/Rh/Fe3O4-fresh with the pre-set Rh loading of 0.5 wt% was prepared by galvanic replacement between Rh3+ and partially reduced magnetite

(Fe3O3.7). In a typical procedure, 9.95 g of Fe3O4 was reacted in 5 vol.% H2/N2 at 400 °C in a tube furnace to produce Fe3O3.7. The Fe3O4 symmetry group remained for Fe3O3.7 after this step

(Supplementary Fig. 1). A 10 mL aqueous solution of RhCl3 at a concentration of 5 mgRh mL−1 was mixed with 90 mL deionized water at room temperature. The Fe3O3.7 was then added to the

solution and stirred for 7 h. The resulting material was separated, washed with water, and dried at 80 °C overnight. The as-prepared material was calcined in air at 450 °C with a ramping

rate of 2 °C/min. The inductively coupled plasma (ICP) analysis showed that the effective Rh loading in the final material was 0.37 wt%. Prior to the catalytic test, the sample was treated

at 200 °C in H2. The purpose of heat treatments is to remove the possible surface ligands and surface-oxidized Rh species that remained during the synthesis. A material containing Pt

(FeO_x_/Pt/Fe3O4-fresh) was prepared by the same method with aqueous solution of H2PtCl6 as the precursor and a pre-set Pt loading of 0.5 wt%. The dynamic changes of the Fe2+ and Fe3+

concentrations in the aqueous fraction during the galvanic replacement synthesis (for FeO_x_/Rh/Fe3O4-fresh) were analyzed by the ferrozine method28. The suspension was centrifuged to

isolate the aqueous fraction during the galvanic replacement (0, 0.1, 0.5, 1, 2, 3, 4, 5, 6, and 7 h). The pH values for the aqueous solutions increased slightly at first (from 4.0 to 5.0),

and then decreased to ~2.5. The resulting aqueous solutions were diluted in a 10−2 M HCl solution and used for the analysis. The Fe2+ can react with ferrozine to form a stable magenta

complex which gives a maximum absorbance at 562 nm on an ultraviolet–vis spectrophotometer. The Fe3+ fraction can be detected by reducing with hydroxylamine hydrochloride solution,

stabilized in a buffer, and followed by complexing with ferrozine. SYNTHESIS OF RH/FE3O4 The Rh/Fe3O4 with a Rh loading of 0.5 wt% was prepared by a urea hydrolysis assisted deposition

method. In a typical procedure, 9.95 g of Fe3O4 were dispersed in 100 mL deionized water. Then, a 10 mL aqueous solution of RhCl3 at a concentration of 5 mgRh mL−1 was added into the

suspension and rigorously stirred for 12 h at room temperature. An excess of urea (urea/[Rh] molar ratio = 60) was added to the suspension for deposition of Rh3+. The Rh3+ can be deposited

homogeneously and slowly with the help of urea hydrolysis in a hydrothermal condition (90 °C) for 6 h. The resulting material was separated, washed with water, and dried at 80 °C overnight.

The as-prepared material was treated in air at 450 °C with a ramping rate of 2 °C min−1. The ICP results suggested that the Rh loading was 0.37 wt%. Prior to the catalytic test, the sample

was treated at 200 °C in H2. A reference Rh/SiO2 with the Rh loading of 0.5 wt% was also prepared by the urea hydrolysis deposition method, followed by the same treatments before catalytic

test. SYNTHESIS OF RH NANOPARTICLES (PVP METHOD) In a typical procedure, Rh nanoparticles were synthesized following a polyol-based method. Rh nitrate (Rh amount 100 mg) was dispersed in 60 

mL of ethylene glycol in the presence of a stabilizer (PVP) and heated under reflux for 6 h. The Rh nanoparticles then were washed with acetone and water eight times before used for model

synthesis experiments. MIXING OF RH3+ AND FE2+ CATIONS IN SOLUTION IN THE ABSENCE OF SOLID In a typical procedure, 0.25 mL RhCl3 aqueous solution (5 mg[Rh] mL−1), 1 mL FeCl2 aqueous solution

(2 mg[Fe] mL−1), and 4 mL deionized water were mixed at room temperature and stirred for 7 h. This procedures were perfomed in a N2 glove box. REACTION OF RH0 NANOPARTICLE AND FE2+ CATIONS

After washing three times with deionized water, 1.25 mg Rh0 nanoparticles were dispersed in 4 mL deionized water and mixed with 1 mL FeCl2 aqueous solution (2 mg[Fe] mL−1) at room

temperature. The resulting suspension then was stirred for 7 h. The Rh0 nanoparticles immersed in Fe2+ solution and parent Rh0 nanoparticles were also diluted in SiO2 as the reference

samples (Rh loading of 0.5%) for handling and catalytic testing. REACTION OF RH0 NANOPARTICLES AND FE3+ CATIONS After washing three times with deionized, 1.25 mg Rh0 nanoparticles were

dispersed in 4 mL deionized water and mixed with 1 mL FeCl3 aqueous solution (2 mg[Fe] mL−1) at room temperature. The resulting suspension then was stirred for 7 h. CHARACTERIZATION

HAADF-STEM measurements were conducted with an aberration-corrected FEI Titan 80-300 STEM operated at 300 kV. EELS mapping and analysis were performed with aberration-corrected JEOL-ARM200F

instrument operated at 200 kV. The instrument (Quantum 965) is capable of performing dual EELS experiment. The EELS mapping was performed in the STEM mode in the range of –50 to 500 eV for

the zero-loss peak, 300 to 800 eV for the iron signal, and 2500 to 3500 eV for rhodium the signal maps. The zero-loss peak for zero-loss calibration was acquired in low loss spectrum images

and aligned at 0 eV. The images and EELS data were analyzed and processed using Gatan Digital Micrograph software. The EELS maps were constructed by analyzing the Fe L2,3 (~708 eV), Rh L2,3

(~3004 eV), and Pt M4,5 (~2122 eV) edge peaks after the background subtraction. X-ray absorption spectroscopy measurements were conducted in sector 20 of the Advanced Photon Source operated

by Argonne National Laboratory. A rejection mirror was used to reduce the effects of harmonics. The metal foil was placed downstream of the sample cell, as a reference to calibrate the

photon energy of each spectrum. The EXAFS spectra were analyzed with the ATHENA (_χ_(k) oscillation background removal), FEFF9 (theoretical model calculation), and ARTEMIS software packages.

The fits to the Rh K-edge EXAFS _χ_(k) data were weighted by _k_2 and windowed between 1.5 Å−1 < k < 15.0 Å−1 using a Hanning window with dk = 1.0 Å−1. H2 and CO2 chemisorption

experiments were conducted with a Micromeritics 2020 instrument. In a typical procedure, 100 to 200 mg of the sample was degassed at 100 °C for 30 min, followed by in situ treatment at 200 

°C in H2 and evacuation at 200 °C for 30 min. Then, the temperature was decreased to 35 °C under vacuum. Prior to the chemisorption experiments, the sample was further evacuated for 40 min.

The adsorbates (H2 or CO2) were introduced into the system for the measurements of chemisorption isotherms. The first chemisorption isotherm was measured in the pressure range of 0–40 kPa at

35 °C. The sample was evacuated after the first adsorption cycle and a second chemisorption isotherm was recorded. The CO2 uptake on the parent Fe3O4 has been subtracted for plotting and

derivation of adsorption parameters. N2 physisorption experiments at −196 °C were performed on a Micromeritics 2020 instrument. The samples were degassed in vacuum at 200 °C before the

measurements. TOF-SIMS was applied with a TOF-SIMS V spectrometer (IONTOF GmbH, Münster, Germany) equipped with a 25 keV bismuth cluster ion source, a 20 keV Ar_n_+, and a 2 keV Cs+/O2+

sputtering ion sources. Prior to the TOF-SIMS experiments, the samples were deposited on an Au(111) substrate and exposed to ultrahigh vacuum overnight. X-ray diffraction experiments were

performed in a Philips X′pert Multi-Purpose Diffractometer equipped with a Cu anode (50 kV and 40 mA). The elemental composition of samples was measured by ICP optical emission spectroscopy

(Perkin Elmer 7300DV). Prior to the ICP experiments, the samples were digested in a mixture of HNO3/HCl/HF/H2O followed by H3BO3 addition for extra HF treatment. REACTION TESTS The CO2

reduction was performed in a flow reactor equipped with an online gas chromatograph (Agilent 7890B). In a typical procedure, prior to the catalytic test, 12 mg of 30–80 mesh catalyst

(diluted with 50 mg SiC) was loaded into the reactor and treated at 200 °C in 20 vol.% H2 with a ramping rate of 2 °C min−1. After the reactor reached the target reaction temperature, a

mixture of CO2, H2, and He with a total flow rate of 140 mL min−1 was fed into the reactor (CO2:H2:He = 7:28:105). CORRELATIONS OF COORDINATION NUMBER AND METAL DISPERSION The correlation

between coordination number and metal dispersion was derived from the data in the reference (Supplementary Fig. 12)35. The relationship between the coordination number of metal–metal shell

and the metal dispersion was derived based on two different shapes of metal particles (spherical and raft-like shapes). CALCULATION OF ADSORPTION CONSTANT AND MONOLAYER COVERAGE FROM

ISOTHERMS The adsorption constant and monolayer coverage were derived from the chemisorption isotherms where chemisorption is treated as a chemical reaction between the gas-phase molecule

(_A_) and the site (*) for adsorption (Eq. (5)). $$A + \ast \, \rightleftarrows \, A \ast.$$ (5) The adsorption can be fitted with a Langmuir adsorption model (Eq. (6)). $$\theta _A =

\frac{V}{{V_m}} = \frac{{\rm{{KP}}}}{{\rm{{1 + KP}}}}.$$ (6) The adsorption parameters can be obtained from the linear form of Eq. (2) (Eq. (7)). In Eq. (7), _θ__A_ is the fractional

coverage of the adsorption sites, _P_ is the partial pressure of the adsorbate, _V__m_ is the volume of the monolayer, and _K_ is the equilibrium adsorption constant. $$\frac{1}{{\theta _A}}

= V_m\left( {\frac{1}{V}} \right) = \frac{1}{K}\left( {\frac{1}{P}} \right) + 1.$$ (7) DATA AVAILABILITY The source data underlying Figs. 1–4 are provided as a Source Data file. The other

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supported by the U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences (BES), Division of Chemical Sciences, Geosciences and Biosciences (Transdisciplinary

Approaches to Realize Novel Catalytic Pathways to Energy Carriers, FWP 47319). K.M.R. acknowledges support from the DOE BES Geosciences program at Pacific Northwest National Laboratory

(PNNL) (Fundamental Mechanisms of Reactivity at Complex Geochemical Interfaces, FWP 56674). Portions of this work were performed at the William R. Wiley Environmental Molecular Sciences

Laboratory, a national scientific user facility sponsored by the DOE’s Office of Biological and Environmental Research and located at PNNL. This research used resources of the Advanced

Photon Source, an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science by Argonne National Laboratory, and was supported by the U.S. DOE (under

Contract No. DE-AC02-06CH11357) and the Canadian Light Source and its funding partners. XAS spectra were taken with the help of Dr. Mahalingam Balasubramanian. We acknowledge help from PNNL

colleagues Prof. Johannes Lercher, Dr. Janos Szanyi, and Dr. Zihua Zhu. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Institute for Integrated Catalysis, and Fundamental and Computational

Science Directorate, Pacific Northwest National Laboratory, Richland, WA, USA Yifeng Zhu, Katherine Koh, Libor Kovarik, John L. Fulton & Oliver Y. Gutiérrez * Physical and Computational

Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA Yifeng Zhu, Xin Zhang, Katherine Koh, John L. Fulton, Kevin M. Rosso & Oliver Y. Gutiérrez * Environmental

Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA Libor Kovarik Authors * Yifeng Zhu View author publications You can also search for this author

inPubMed Google Scholar * Xin Zhang View author publications You can also search for this author inPubMed Google Scholar * Katherine Koh View author publications You can also search for this

author inPubMed Google Scholar * Libor Kovarik View author publications You can also search for this author inPubMed Google Scholar * John L. Fulton View author publications You can also

search for this author inPubMed Google Scholar * Kevin M. Rosso View author publications You can also search for this author inPubMed Google Scholar * Oliver Y. Gutiérrez View author

publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS Y.Z. and O.Y.G. led the project and conceived the experiments. Y.Z., X.Z., and K.K. performed the

material synthesis. L.K. was responsible for the microscopy studies. J.L.F. was responsible for the X-ray absorption spectroscopy studies. K.M.R. contributed to the analysis of the mechanism

and manuscript writing. Y.Z. and O.Y.G. wrote the manuscript with the inputs from all authors. CORRESPONDING AUTHOR Correspondence to Oliver Y. Gutiérrez. ETHICS DECLARATIONS COMPETING

INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION PEER REVIEW INFORMATION _Nature Communications_ thanks Miron Landau and other, anonymous, reviewers for their

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galvanic replacement. _Nat Commun_ 11, 3269 (2020). https://doi.org/10.1038/s41467-020-16830-4 Download citation * Received: 22 January 2020 * Accepted: 24 April 2020 * Published: 29 June

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