Back to News
research

Metal hybridization in dilute-alloy catalysts promotes sintering resistance by decreasing surface mobility

Jordan Finzel
Loading...
15 min read
0 likes
⚡ Quantum Brief
Researchers discovered that adding just 1% platinum to copper nanoparticles dramatically boosts their resistance to sintering, extending stability up to 700°C—200°C higher than pure copper. This breakthrough challenges traditional bulk material theories. Scanning tunneling microscopy revealed that trace platinum reduces atom detachment rates on copper surfaces, directly slowing the initial stage of nanoparticle degradation. This was confirmed through real-time hydrogen-aging experiments. Density functional theory calculations identified d-state hybridization between host and dopant metals as the key mechanism reducing surface mobility. This provides a predictive framework for designing sinter-resistant alloys. The study demonstrates that dilute alloying—even at near-single-atom levels—can stabilize catalysts better than conventional methods, with implications for industrial processes like methanol synthesis. Experimental and computational data combined to validate the approach, offering a scalable strategy for next-generation catalysts with prolonged lifespans under harsh conditions.
AI Audio Summary
0:00 / 0:00
Click to play
f7e9219d-7515-46fb-86c9-f4778fc4627f.jpeg
Quantum News · Media Library

Nature Materials (2026)Cite this article Dilute-metal-alloy nanoparticles exhibit enhanced catalytic performance compared with monometallic nanoparticles for many reactions. Anecdotal reports indicate that very dilute alloying can also slow the sintering rates of supported nanoparticles, although this has not been rigorously assessed and cannot be explained using bulk descriptors such as metal melting temperature. Here we utilize methanol synthesis reactivity, microscopy and in situ spectroscopy measurements to demonstrate that 1 atom% Pt addition to ~1–2-nm-diameter Cu (Pt1Cu100) nanoparticles supported on SiO2 dramatically decreases their sintering rates. Minimal sintering of Pt1Cu100 nanoparticles is observed during aging in H2 up to 700 °C versus 500 °C for Cu nanoparticles. Scanning tunnelling microscopy reveals that the addition of 0.01 monolayer of Pt to a Cu(110) surface decreases the detachment rate of undercoordinated atoms, demonstrating that dilute dopants can locally decrease the rate of the first step in nanoparticle sintering. Density functional theory calculations quantify the stabilization and predict other sinter-resistant dilute alloys. We find that the degree of host–dopant d-state hybridization correlates with decreased surface mobility, providing a mechanistic framework for designing sinter-resistant catalysts.This is a preview of subscription content, access via your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any timeSubscribe to this journal Receive 12 print issues and online access $259.00 per yearonly $21.58 per issueBuy this articleUSD 39.95Prices may be subject to local taxes which are calculated during checkoutAll data generated or analysed during this study are included in this Article and the Supplementary Information. Further data are available from the corresponding authors upon request. Source data are provided with this paper.Bartholomew, C. H. & Farrauto, R. J. Fundamentals of Industrial Catalytic Processes (John Wiley & Sons, 2005).Scott, S. L. A matter of life(time) and death. ACS Catal. 8, 8597–8599 (2018).Article CAS Google Scholar An, K. & Somorjai, G. A. Size and shape control of metal nanoparticles for reaction selectivity in catalysis. ChemCatChem 4, 1512–1524 (2012).Article CAS Google Scholar Matsubu, J. C., Yang, V. N. & Christopher, P. Isolated metal active site concentration and stability control catalytic CO2 reduction selectivity. J. Am. Chem. Soc. 137, 3076–3084 (2015).Article CAS PubMed Google Scholar Argyle, M. D. & Bartholomew, C. H. Heterogeneous catalyst deactivation and regeneration: a review. Catalysts 5, 145–269 (2015).Moulijn, J. A., van Diepen, A. E. & Kapteijn, F. Catalyst deactivation: is it predictable? What to do?. Appl. Catal. A Gen. 212, 3–16 (2001).Article CAS Google Scholar Campbell, C. T., Parker, S. C. & Starr, D. E. The effect of size-dependent nanoparticle energetics on catalyst sintering. Science 298, 811–814 (2002).Article CAS PubMed Google Scholar Behafarid, F. & Roldan Cuenya, B. Towards the understanding of sintering phenomena at the nanoscale: geometric and environmental effects. Top. Catal. 56, 1542–1559 (2013).Article CAS Google Scholar Hu, S. & Li, W.-X. Sabatier principle of metal-support interaction for design of ultrastable metal nanocatalysts. Science 374, 1360–1365 (2021).Article CAS PubMed Google Scholar Hansen, T. W., DeLaRiva, A. T., Challa, S. R. & Datye, A. K. Sintering of catalytic nanoparticles: particle migration or Ostwald ripening?. Acc. Chem. Res. 46, 1720–1730 (2013).Article CAS PubMed Google Scholar Goodman, E. D. et al. Size-controlled nanocrystals reveal spatial dependence and severity of nanoparticle coalescence and Ostwald ripening in sintering phenomena. Nanoscale 13, 930–938 (2021).Article CAS PubMed Google Scholar Cao, A., Lu, R. & Veser, G. Stabilizing metal nanoparticles for heterogeneous catalysis. Phys. Chem. Chem. Phys. 12, 13499–13510 (2010).Article CAS PubMed Google Scholar Zandkarimi, B., Poths, P. & Alexandrova, A. N. When fluxionality beats size selection: acceleration of Ostwald ripening of sub-nano clusters. Angew. Chem. Int. Ed. 60, 11973–11982 (2021).Article CAS Google Scholar Zhang, S. et al. Revealing particle growth mechanisms by combining high-surface-area catalysts made with monodisperse particles and electron microscopy conducted at atmospheric pressure. J. Catal. 337, 240–247 (2016).Article CAS Google Scholar Dai, Y., Lu, P., Cao, Z., Campbell, C. T. & Xia, Y. The physical chemistry and materials science behind sinter-resistant catalysts. Chem. Soc. Rev. 47, 4314–4331 (2018).Article CAS PubMed Google Scholar Farmer, J. A. & Campbell, C. T. Ceria maintains smaller metal catalyst particles by strong metal-support bonding. Science 329, 933–936 (2010).Article CAS PubMed Google Scholar Hemmingson, S. L. & Campbell, C. T. Trends in adhesion energies of metal nanoparticles on oxide surfaces: understanding support effects in catalysis and nanotechnology. ACS Nano 11, 1196–1203 (2017).Article CAS PubMed Google Scholar Hanukovich, S., Dang, A. & Christopher, P. Influence of metal oxide support acid sites on Cu-catalyzed nonoxidative dehydrogenation of ethanol to acetaldehyde. ACS Catal. 9, 3537–3550 (2019).Article CAS Google Scholar Liu, J., Ji, Q., Imai, T., Ariga, K. & Abe, H. Sintering-resistant nanoparticles in wide-mouthed compartments for sustained catalytic performance. Sci. Rep. 7, 41773 (2017).Article CAS PubMed PubMed Central Google Scholar O’Neill, B. J. et al. Catalyst design with atomic layer deposition. ACS Catal. 5, 1804–1825 (2015).Article Google Scholar Goodman, E. D., Schwalbe, J. A. & Cargnello, M. Mechanistic understanding and the rational design of sinter-resistant heterogeneous catalysts. ACS Catal. 7, 7156–7173 (2017).Article CAS Google Scholar Darby, M. T., Stamatakis, M., Michaelides, A. & Sykes, E. C. H. Lonely Atoms with special gifts: breaking linear scaling relationships in heterogeneous catalysis with single-atom alloys. J. Phys. Chem. Lett. 9, 5636–5646 (2018).Article CAS PubMed Google Scholar Hannagan, R. T. et al. First-principles design of a single-atom–alloy propane dehydrogenation catalyst. Science 372, 1444–1447 (2021).Article CAS Google Scholar Shan, J. et al. Selective non-oxidative dehydrogenation of ethanol to acetaldehyde and hydrogen on highly dilute NiCu alloys. Appl. Catal. 205, 541–550 (2017).Article CAS Google Scholar Karelovic, A. & Ruiz, P. The role of copper particle size in low pressure methanol synthesis via CO2 hydrogenation over Cu/ZnO catalysts. Catal. Sci. Technol. 5, 869–881 (2015).Article CAS Google Scholar Jentys, A. Estimation of mean size and shape of small metal particles by EXAFS. Phys. Chem. Chem. Phys. 1, 4059–4063 (1999).Article CAS Google Scholar Bergeret, G. & Gallezot, P. in Handbook of Heterogeneous Catalysis 738–765 (Wiley-VCH, 2008).van den Berg, R. et al. Support functionalization to retard Ostwald ripening in copper methanol synthesis catalysts. ACS Catal. 5, 4439–4448 (2015).Article Google Scholar Jeong, H.-C. & Williams, E. D. Steps on surfaces: experiment and theory. Surf. Sci. Rep. 34, 171–294 (1999).Article CAS Google Scholar Tao, C., Stasevich, T. J., Einstein, T. L. & Williams, E. D. Step fluctuations on Ag(111) surfaces with C60. Phys. Rev. B 73, 125436 (2006).Article Google Scholar Liang, Z. et al. Atomic-scale visualization of surface segregation and ordering of Pt in a dilute Cu(Pt) alloy under a hydrogen atmosphere. J. Phys. Chem. C 128, 18236–18246 (2024).Article CAS Google Scholar Grabow, L. C. & Mavrikakis, M. Mechanism of methanol synthesis on Cu through CO2 and CO hydrogenation. ACS Catal. 1, 365–384 (2011).Article CAS Google Scholar Bartelt, N. C., Einstein, T. L. & Williams, E. D. The influence of step-step interactions on step wandering. Surf. Sci. 240, L591–L598 (1990).Article CAS Google Scholar Bondarchuk, O. et al. Correlation time for step structural fluctuations. Phys. Rev. B 71, 14–16 (2005).Article Google Scholar Stoltze, P. Simulation of surface defects. J. Phys. Condens. Matter 6, 9495–9517 (1994).Article Google Scholar Lane, P. D., Martin, D. S., Hesp, D., Isted, G. E. & Cole, R. J. Effects of steps and ordered defects on Cu(110) surface states. Phys. Rev. B 87, 245405 (2013).Article Google Scholar Dobberschütz, S. et al. The mechanisms of crystal growth inhibition by organic and inorganic inhibitors. Nat. Commun. 9, 1578 (2018).Article PubMed PubMed Central Google Scholar Mazal, T. & Doherty, M. F. Modeling impurity-mediated crystal growth and morphologies of centrosymmetric molecules. Cryst. Growth Des. 23, 369–379 (2023).Article CAS Google Scholar Zhao, G.-C., Qiu, Y. & Liu, C.-G. A Systematic theoretical study on electronic interaction in Cu-based single-atom alloys. ACS Omega 7, 41586–41593 (2022).Article CAS PubMed PubMed Central Google Scholar Greiner, M. T. et al. Free-atom-like d states in single-atom alloy catalysts. Nat. Chem. 10, 1008–1015 (2018).Article CAS PubMed Google Scholar Spivey, T. D. & Holewinski, A. Selective interactions between free-atom-like d-states in single-atom alloy catalysts and near-frontier molecular orbitals. J. Am. Chem. Soc. 143, 11897–11902 (2021).Article CAS PubMed Google Scholar Dronskowski, R. & Bloechl, P. E. Crystal orbital Hamilton populations (COHP): energy-resolved visualization of chemical bonding in solids based on density-functional calculations. J. Phys. Chem. 97, 8617–8624 (1993).Article CAS Google Scholar Rao, K. K., Do, Q. K., Pham, K., Maiti, D. & Grabow, L. C. Extendable machine learning model for the stability of single atom alloys. Top. Catal. 63, 728–741 (2020).Article CAS Google Scholar Giannakakis, G. et al. NiAu single atom alloys for the non-oxidative dehydrogenation of ethanol to acetaldehyde and hydrogen. Top. Catal. 61, 475–486 (2018).Article CAS Google Scholar Hussein, O., Alghalayini, M., Dillon, S. J. & Abdeljawad, F. Unraveling the role of grain boundary anisotropy in sintering: implications for nanoscale manufacturing. ACS Appl. Nano Mater. 4, 8039–8049 (2021).Article CAS Google Scholar Wynblatt, P. & Gjostein, N. A. Supported metal crystallites. Prog.

Solid State Chem. 9, 21–58 (1975).Article CAS Google Scholar Meyer, R. et al. An ab initio analysis of adsorption and diffusion of silver atoms on alumina surfaces. Surf. Sci. 601, 134–145 (2007).Article CAS Google Scholar Campbell, C. T. The degree of rate control: a powerful tool for catalysis research. ACS Catal. 7, 2770–2779 (2017).Article CAS Google Scholar Goeke, R. S. & Datye, A. K. Model oxide supports for studies of catalyst sintering at elevated temperatures. Top. Catal. 46, 3–9 (2007).Article CAS Google Scholar Xu, L. et al. Formation of active sites on transition metals through reaction-driven migration of surface atoms. Science 380, 70–76 (2023).Article CAS PubMed Google Scholar Dannar, A. Exploring the Structure and Dynamics of Cu under Reducing and Oxidizing Conditions. PhD thesis, Tufts Univ. (2024).Finzel, J. P. Characterization of Dynamic Catalyst Structures and Impacts on Reactivity. PhD thesis, Univ. of California, Santa Barbara (2024).Liu, J. et al. Tackling CO poisoning with single-atom alloy catalysts. J. Am. Chem. Soc. 138, 6396–6399 (2016).Article CAS PubMed Google Scholar Genc, A. et al. A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles. Ultramicroscopy 271, 114116 (2025).Article CAS PubMed Google Scholar Kresse, G. & Hafner, J. Ab initio molecular dynamics for liquid metals. Phys. Rev. B 47, 558–561 (1993).Article CAS Google Scholar Kresse, G. & Hafner, J. Ab initio molecular-dynamics simulation of the liquid-metal–amorphous-semiconductor transition in germanium. Phys. Rev. B 49, 14251–14269 (1994).Article CAS Google Scholar Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).Article CAS Google Scholar Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994).Article Google Scholar Zhang, G.-X., Reilly, A. M., Tkatchenko, A. & Scheffler, M. Performance of various density-functional approximations for cohesive properties of 64 bulk solids. New J. Phys. 20, 063020 (2018).Article Google Scholar Nelson, R. et al. LOBSTER: local orbital projections, atomic charges, and chemical-bonding analysis from projector-augmented-wave-based density-functional theory. J. Comput. Chem. 41, 1931–1940 (2020).Article CAS PubMed Google Scholar Maintz, S., Deringer, V. L., Tchougréeff, A. L. & Dronskowski, R. Analytic projection from plane-wave and PAW wavefunctions and application to chemical-bonding analysis in solids. J. Comput. Chem. 34, 2557–2567 (2013).Article CAS PubMed Google Scholar Maintz, S., Deringer, V. L., Tchougréeff, A. L. & Dronskowski, R. LOBSTER: a tool to extract chemical bonding from plane-wave based DFT. J. Comput. Chem. 37, 1030–1035 (2016).Article CAS PubMed PubMed Central Google Scholar Deringer, V. L., Tchougréeff, A. L. & Dronskowski, R.

Crystal Orbital Hamilton Population (COHP) analysis as projected from plane-wave basis sets. J. Phys. Chem. A 115, 5461–5466 (2011).Article CAS PubMed Google Scholar Sun, W. & Ceder, G. Efficient creation and convergence of surface slabs. Surf. Sci. 617, 53–59 (2013).Article CAS Google Scholar Momma, K. & Izumi, F. VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data. J. Appl. Crystallogr. 44, 1272–1276 (2011).Article CAS Google Scholar Download referencesJ.F. and P.C. would like to acknowledge primary financial support from the US Department of Energy, Office of Basic Energy Sciences, Catalysis Science program, under contract number DE-SC0021124. A.D. and E.C.H.S. would like to acknowledge primary financial support from the US Department of Energy, Office of Basic Energy Sciences, Catalysis Science program, under contract number DE-SC0021196. S.S. and B.W. appreciate financial support from the US Department of Energy, Office of Basic Energy Sciences, Catalysis Science program, under contract number DE-SC0018284. J.F. would like to acknowledge support from the National Science Foundation Graduate Research Fellowship Program (NSF GRFP) under grant number 1650114 and the US Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists, Office of Science Graduate Student Research (SCGSR), program. The SCGSR program is administered by the Oak Ridge Institute for Science and Education for the Department of Energy under contract number DE-SC0014664. The use of the Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract number DE-AC02-76SF00515. A.S.H. and S.R.B. would like to acknowledge Co-ACCESS, part of the SUNCAT Center for Interface Science and Catalysis, which is supported by the US Department of Energy, Office of Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences Division. Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). Use of the CSC along with the ICP, transmission electron microscopy and STEM equipment in the UCSB MRL Shared Experimental Facilities is acknowledged, which are supported by the MRSEC Program of the National Science Foundation under award number DMR 2308708. This work also used Bridges-2 at Pittsburgh Supercomputing Center through allocation CHM230006 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS) program, which is supported by National Science Foundation grant numbers 2138259, 2138286, 2138307, 2137603 and 2138296, and supercomputer resources of the National Energy Research Scientific Computing Center (NERSC), a US Department of Energy, Office of Science User Facility. We thank G. Giannakakis and P. Deshlahra for discussions and G.G’s. assistance in the early stages of the project. A. Genc is acknowledged for assistance with the electron microscopy measurements and the development of particle size analysis methods.These authors contributed equally: Jordan Finzel, Audrey Dannar.Department of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USAJordan Finzel & Phillip ChristopherDepartment of Chemistry, Tufts University, Medford, MA, USAAudrey Dannar & E. Charles H. SykesSchool of Sustainable Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, OK, USAShoutian Sun & Bin WangStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, USAAdam S. Hoffman & Simon R. BareSUNCAT Center for Sustainable Catalysis, SLAC National Accelerator Laboratory, Menlo Park, CA, USAAdam S. Hoffman & Simon R. BareDepartment of Chemical and Biological Engineering, Tufts University, Medford, MA, USAYogita Soni & E. Charles H. SykesSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarSearch author on:PubMed Google ScholarJ.F. completed the reactivity experiments, XAS, microscopy, DFT calculations and subsequent analysis. A.S.H. facilitated the XAS measurements and analysis. J.F. and Y.S. synthesized the catalysts. A.D. completed all the surface science experiments and analysis. S.S. completed the molecular dynamics simulations and analysis. J.F. and A.D. wrote the initial draft. B.W., S.R.B., E.C.H.S. and P.C. were responsible for supervision, analysis, editing and funding acquisition. All authors discussed the results and commented on the manuscript.Correspondence to E. Charles H. Sykes or Phillip Christopher.The authors declare no competing interests.Nature Materials thanks Stefano Agnoli, Xin Zhang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary Sections 1–9, Figs. 1–17 and Tables 1–5.Vienna ab initio simulation package CONTCAR files of all structures discussed in the Article and Supplementary Information.Methanol synthesis production rates for Cu/SiO2 and Pt1Cu100/SiO2 catalysts following rapid thermal aging. Particle size distributions of fresh and spent catalyst samples.Programmed rapid thermal aging procedure, raw R-space EXAFS data for Cu/SiO2 and Pt1Cu100/SiO2 catalysts following rapid thermal aging and particle size estimates derived from EXAFS Cu–Cu first-shell fitting for Cu/SiO2 and Pt1Cu100/SiO2 catalysts following rapid thermal aging.Arrhenius plot data for the step-edge mobility of Cu(100) single crystal.Calculated step stabilization energies for Cu(211) surface with dopants and parity plot data for DFT step stabilization energy versus predicted step stabilization energy based on linear regression model for Cu, Ag and Au(211) hosts.Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.Reprints and permissionsFinzel, J., Dannar, A., Sun, S. et al. Metal hybridization in dilute-alloy catalysts promotes sintering resistance by decreasing surface mobility. Nat. Mater. (2026). https://doi.org/10.1038/s41563-026-02489-7Download citationReceived: 03 April 2024Accepted: 12 January 2026Published: 02 March 2026Version of record: 02 March 2026DOI: https://doi.org/10.1038/s41563-026-02489-7Anyone you share the following link with will be able to read this content:Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative

Read Original

Source Information

Source: Nature Quantum Materials

Discussion

0 professional contributions

Sign in to join this professional discussion.

Be the first to add a constructive contribution.