Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Modeling the self-assembly of L-cysteine molecules on the Au(111) surface: A lattice model approach

Tabut, Mary, Stishenko, Pavel V. and Calatayud, Monica 2025. Modeling the self-assembly of L-cysteine molecules on the Au(111) surface: A lattice model approach. Surface Science 757 , 122740. 10.1016/j.susc.2025.122740

[thumbnail of 1-s2.0-S0039602825000470-main.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview

Abstract

The design of chiral materials with enhanced properties has rapidly gained interest. However, the complex modeling of self-assembled monolayers poses significant challenges to theoretical chemists, making it difficult to accurately predict or explain the structure and thermodynamic properties of adsorption layers in surface science. In the present work, we provide new insights into the self-assembly network of L-cysteine molecules on an Au(111) surface using a lattice model approach. The research focuses on the adsorption behavior of L-cysteine in its deprotonated acidic form [NH3 +CH(CH2S-)COOH)], which introduces unique intermolecular interactions due to the charged amino group. Using the Surface Science Modeling and Simulation Toolkit (SuSMoST), we systematically explored multiple adsorption sites and configurations, generating unexplored high-coverage systems that were further analyzed at the density functional level of theory. Our findings highlight the significance of surface arrangements, intra- and inter-molecular interactions in determining the overall stability of the L-cysteine self-assembled monolayers. Among the various configurations analyzed, a newly identified system revealed the highest stability with an adsorption energy of -1.44 eV, competing with previously reported structures.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Chemistry
Research Institutes & Centres > Cardiff Catalysis Institute (CCI)
Publisher: Elsevier
ISSN: 0039-6028
Date of First Compliant Deposit: 3 April 2025
Date of Acceptance: 18 March 2025
Last Modified: 03 Apr 2025 12:06
URI: https://orca.cardiff.ac.uk/id/eprint/177148

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics