Quantum Mechanical Derived (VdW‐DFT) Transferable Lennard–Jones and Morse Potentials to Model Cysteine and Alkanethiol Adsorption on Au(111)

Abstract The cysteine and alkanethiol adsorption on Au(111) surfaces is investigated using density functional theory (DFT) and classic molecular dynamics (MD). Understanding the S–Au interaction across different scales poses major challenges. DFT provides atomic‐level precision but it hardly provides insight on nanosecond scale dynamics of this interface. Alternatively, MD, although it enables modeling larger systems for longer periods, its accuracy heavily relies on the parameterization of the force fields (FF). To address this, an MD potential is fitted using DFT calculations, bridging the gap in accuracy and efficiency. At the DFT level, it is found that PBE with DFT‐D3 reproduces complex approaches at a fraction of the computational cost. Separating PBE and DFT‐D3 contributions reveals consistent PBE energy across molecules (chemisorption), while dispersion varies (physisorption). Thus, the interaction energy of cysteine and two short‐chain alkanethiols is calculated to parameterize both Morse and Lennard–Jones (LJ) potentials. The parameterization improves the potential energy in the preferred adsorption sites: the threefold hcp and fcc with respect to the previous proposals in the literature. Furthermore, the transferability is here demonstrated. At last, these results show that LJ potentials outperform more complex Morse potentials. The procedure is general, and the codes and supporting inputs are publicly available, allowing swift generation of potential energy surfaces (PES) at the DFT level, and fitted LJ or Morse potentials to any molecular interface.

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Publication Details

Journal
Advanced Materials Interfaces
Published
2024-08-29
DOI
https://doi.org/10.1002/admi.202400369
Citations
4
Primary Topic
Molecular Junctions and Nanostructures
Type
article
Field-Weighted Citation Impact
0.83

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article

Quantum Mechanical Derived (VdW‐DFT) Transferable Lennard–Jones and Morse Potentials to Model Cysteine and Alkanethiol Adsorption on Au(111)

Emiliano Ventura‐Macías, Rúben Pérez, J. G. Vilhena, P. M. Martinez
4 citations
Advanced Materials Interfaces
Molecular Junctions and Nanostructures
0.83
article

Quantum Mechanical Derived (VdW‐DFT) Transferable Lennard–Jones and Morse Potentials to Model Cysteine and Alkanethiol Adsorption on Au(111)

Emiliano Ventura‐Macías, Rúben Pérez, J. G. Vilhena, P. M. Martinez
article en
4 citations

Abstract

Abstract The cysteine and alkanethiol adsorption on Au(111) surfaces is investigated using density functional theory (DFT) and classic molecular dynamics (MD). Understanding the S–Au interaction across different scales poses major challenges. DFT provides atomic‐level precision but it hardly provides insight on nanosecond scale dynamics of this interface. Alternatively, MD, although it enables modeling larger systems for longer periods, its accuracy heavily relies on the parameterization of the force fields (FF). To address this, an MD potential is fitted using DFT calculations, bridging the gap in accuracy and efficiency. At the DFT level, it is found that PBE with DFT‐D3 reproduces complex approaches at a fraction of the computational cost. Separating PBE and DFT‐D3 contributions reveals consistent PBE energy across molecules (chemisorption), while dispersion varies (physisorption). Thus, the interaction energy of cysteine and two short‐chain alkanethiols is calculated to parameterize both Morse and Lennard–Jones (LJ) potentials. The parameterization improves the potential energy in the preferred adsorption sites: the threefold hcp and fcc with respect to the previous proposals in the literature. Furthermore, the transferability is here demonstrated. At last, these results show that LJ potentials outperform more complex Morse potentials. The procedure is general, and the codes and supporting inputs are publicly available, allowing swift generation of potential energy surfaces (PES) at the DFT level, and fitted LJ or Morse potentials to any molecular interface.

Advanced Materials InterfacesVol. 11(30)
Instituto de Ciencia de Materiales de Madrid (ES), Universidad Autónoma de Madrid (ES)
Comunidad de Madrid, Consejo Nacional de Ciencia y Tecnología, Ministerio de Ciencia e Innovación, Ministerio de Educación y Formación Profesional
Affordable and clean energy
Openalex Percentile: Top 27%
Molecular Junctions and Nanostructures
0.83
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