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

IF 4.3 3区 材料科学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Emiliano Ventura-Macias, P. M. Martinez, Rubén Pérez, J. G. Vilhena
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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.

Abstract Image

Abstract Image

量子力学衍生(VdW-DFT)可转移伦纳德-琼斯电位和莫尔斯电位在金(111)上的半胱氨酸和烷硫醇吸附建模
我们利用密度泛函理论(DFT)和经典分子动力学(MD)研究了半胱氨酸和烷硫醇在金(111)表面的吸附。理解不同尺度的 S-Au 相互作用是一项重大挑战。密度泛函理论提供了原子级的精确度,但很难深入了解该界面的纳秒尺度动态。另外,MD 虽然能对更大的系统进行更长时间的建模,但其精度在很大程度上依赖于力场(FF)的参数化。为了解决这个问题,我们使用 DFT 计算来拟合 MD 势,从而缩小了精度和效率上的差距。在 DFT 层面上,我们发现使用 DFT-D3 的 PBE 只需一小部分计算成本就能重现复杂的方法。将 PBE 和 DFT-D3 的贡献分开,可以发现不同分子的 PBE 能量是一致的(化学吸附),而分散性则各不相同(物理吸附)。因此,通过计算半胱氨酸和两个短链烷硫醇的相互作用能,可以对莫尔斯电位和伦纳德-琼斯(LJ)电位进行参数化。与之前文献中的建议相比,参数化提高了首选吸附位点的势能:三倍 hcp 和 fcc。此外,还证明了其可移植性。最后,这些结果表明 LJ 电位优于更复杂的莫尔斯电位。该程序是通用的,代码和支持输入都是公开的,可以在 DFT 水平上快速生成势能面 (PES),并将 LJ 或莫尔斯势能拟合到任何分子界面上。
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来源期刊
Advanced Materials Interfaces
Advanced Materials Interfaces CHEMISTRY, MULTIDISCIPLINARY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
8.40
自引率
5.60%
发文量
1174
审稿时长
1.3 months
期刊介绍: Advanced Materials Interfaces publishes top-level research on interface technologies and effects. Considering any interface formed between solids, liquids, and gases, the journal ensures an interdisciplinary blend of physics, chemistry, materials science, and life sciences. Advanced Materials Interfaces was launched in 2014 and received an Impact Factor of 4.834 in 2018. The scope of Advanced Materials Interfaces is dedicated to interfaces and surfaces that play an essential role in virtually all materials and devices. Physics, chemistry, materials science and life sciences blend to encourage new, cross-pollinating ideas, which will drive forward our understanding of the processes at the interface. Advanced Materials Interfaces covers all topics in interface-related research: Oil / water separation, Applications of nanostructured materials, 2D materials and heterostructures, Surfaces and interfaces in organic electronic devices, Catalysis and membranes, Self-assembly and nanopatterned surfaces, Composite and coating materials, Biointerfaces for technical and medical applications. Advanced Materials Interfaces provides a forum for topics on surface and interface science with a wide choice of formats: Reviews, Full Papers, and Communications, as well as Progress Reports and Research News.
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