Predicting Adhesion Energies of Metal Nanoparticles to Support Surfaces, Which Determines Metal Chemical Potential versus Particle Size and Thus Catalyst Performance

Kun Zhao; Daniel J. Auerbach; Charles T. Campbell

doi:10.1021/acscatal.4c02559

journal article Aug 12, 2024

Predicting Adhesion Energies of Metal Nanoparticles to Support Surfaces, Which Determines Metal Chemical Potential versus Particle Size and Thus Catalyst Performance

Kun Zhao

Daniel J. Auerbach Charles T. Campbell

ACS Catalysis Vol. 14 No. 17 pp. 12857-12864 · American Chemical Society (ACS)

View at Publisher Save 10.1021/acscatal.4c02559

Topics

No keywords indexed for this article. Browse by subject →

References

51

[1]

10.1039/c3fd00094j

[2]

10.1021/acscatal.7b03090

[3]

10.1021/acscatal.1c01870

[4]

10.1002/cctc.201701841

[5]

10.1126/sciadv.aax5101

[6]

10.1002/cctc.202201188

[7]

10.1126/science.1075094

[8]

10.1021/ja208324n

[9]

10.1126/science.abi9828

[10]

10.1021/acs.chemrev.9b00417

[11]

10.1021/ja3087054

[12]

10.1021/acscatal.1c04633

[13]

10.1039/a902649e

[14]

10.1103/physrevb.63.195410

[15]

10.1063/1.1337097

[16]

10.1021/jp104593y

[17]

10.1126/science.1191778

[18]

10.1021/jp408956x

[19]

10.1021/acs.jpcc.5b04621

[20]

10.1021/acscatal.5b01372

[21]

10.1021/acs.jpcc.6b03789

[22]

10.1021/acscatal.6b03173

[23]

10.1021/acs.jpcc.0c03468

[24]

10.1021/acscatal.0c00333

[25]

10.1021/acs.jpcc.0c10504

[26]

10.1021/acscatal.1c05589

[27]

10.1021/acscatal.2c02765

[28]

10.1021/acscatal.2c06343

[29]

10.1016/j.susc.2015.06.013

[30]

10.1021/acsnano.6b07502

[31]

10.1021/acs.jpcc.3c01175

[32]

10.1021/acscatal.3c03366

[33]

10.1021/la00009a049

[34]

10.1016/j.jcat.2013.08.002

[35]

WebBook N. C. (2022)

[36]

10.1103/physrevb.79.125428

[37]

10.1103/physrevb.79.235424

[38]

10.1016/0956-7151(92)90281-i

[39]

10.1007/bf03216594

[40]

10.1088/1367-2630/13/2/025001

[41]

10.1103/physrevb.76.075409

[42]

10.1016/s0039-6028(98)00688-8

[43]

10.1103/physrevb.69.035411

[44]

10.1126/science.1082146

[45]

10.1016/s0039-6028(98)00363-x

[46]

Nida Janulaitis K. Z. ACS Catal. (2024)

[47]

10.1038/s41929-018-0094-5

[48]

10.1016/0001-6160(67)90206-4

[49]

10.1021/acs.jpcc.0c07316

[50]

10.1021/acs.jpcc.7b09429

Showing 50 of 51 references

Metrics

13

Citations

51

References

Details

Published: Aug 12, 2024
Vol/Issue: 14(17)
Pages: 12857-12864
License: View

Authors

K

Kun Zhao

Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States

D

Daniel J. Auerbach

Department of Dynamics at Surfaces, Max-Planck Institute for Multidisciplinary Sciences, Am Faßberg 11, Göttingen 37077, Germany

C

Charles T. Campbell

Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States

Cite This Article

Kun Zhao, Daniel J. Auerbach, Charles T. Campbell (2024). Predicting Adhesion Energies of Metal Nanoparticles to Support Surfaces, Which Determines Metal Chemical Potential versus Particle Size and Thus Catalyst Performance. ACS Catalysis, 14(17), 12857-12864. https://doi.org/10.1021/acscatal.4c02559

Predicting Adhesion Energies of Metal Nanoparticles to Support Surfaces, Which Determines Metal Chemical Potential versus Particle Size and Thus Catalyst Performance

You May Also Like