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Accurate and Ultrafast Simulation of Molecular Recognition and Assembly on Metal Surfaces in Four Dimensions.
Zhu, Cheng; Hoff, Samuel E; Hémadi, Miryana; Heinz, Hendrik.
Afiliação
  • Zhu C; Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, Colorado 80309, United States.
  • Hoff SE; Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, Colorado 80309, United States.
  • Hémadi M; Department of Chemistry, Laboratoire ITODYS, Université Paris Cité, CNRS, F-75013 Paris, France.
  • Heinz H; Institut Pasteur, Université Paris Cité, CNRS UMR 3528, F-75015 Paris, France.
ACS Nano ; 17(11): 9938-9952, 2023 Jun 13.
Article em En | MEDLINE | ID: mdl-37260141
ABSTRACT
Understanding molecular interactions with metal surfaces in high reliability is critical for the development of catalysts, sensors, and therapeutics. Obtaining accurate experimental data for a wide range of surfaces remains a critical bottleneck and quantum-mechanical data remain speculative due to high uncertainties and limitations in scale. We report molecular dynamics simulations of adsorption energies and assembly of organic molecules on elemental metal surfaces using the INTERFACE force field (IFF). The force field-based simulations reach up to 8 times higher accuracy than density functional calculations at a million-fold faster speed, as well as more than 1 order of magnitude higher accuracy than other force fields relative to accurate measurements by single-crystal adsorption calorimetry. Uncertainties of prior computational methods are effectively reduced from on the order of 100% to less than 10% and validated by experimental data from multiple sources. Specifically, we describe the molecular interactions of benzene and naphthalene with even and defective platinum surfaces across a wide range of surface coverage in depth. We discuss molecular-scale influences on the heat of adsorption and clarify the definition of surface coverage. The methods can be applied to 18 metals to accurately predict binding and assembly of organic molecules, ligands, electrolytes, biological molecules, and gases without additional fit parameters.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ACS Nano Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: ACS Nano Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos