Interpretable molecular models for molybdenum disulfide and insight into selective peptide recognition

Area of Science:

• Materials Science
• Computational Chemistry
• Nanotechnology

Background:

• Molybdenum disulfide (MoS2) possesses unique electrical and optical properties, making it promising for various applications.
• Accurate molecular simulations are crucial for optimizing MoS2-based devices but are hindered by unreliable models.
• Existing models often suffer from structural instability and inaccuracies in predicting interfacial and mechanical properties.

Purpose of the Study:

• To develop an interpretable and highly accurate force field for molybdenum disulfide (MoS2).
• To enable reliable all-atom resolution simulations of MoS2 and its interactions.
• To investigate peptide binding mechanisms on MoS2 surfaces.

Main Methods:

• Development of a novel, interpretable force field for MoS2.
• Validation against experimental data for structural, interfacial, and mechanical properties.
• Molecular dynamics simulations to study peptide-MoS2 interactions and binding mechanisms.

Main Results:

• The new MoS2 force field achieves 0.1% to 5% agreement with experimental data, surpassing previous models.
• The model accurately reproduces structural stability, interfacial behavior, and mechanical properties.
• Peptide binding to MoS2 was elucidated, showing tunable binding strengths and multifactorial selectivity.

Conclusions:

• The developed force field provides a reliable tool for simulating MoS2 at the molecular level.
• This advancement facilitates the design and optimization of MoS2-based nanomaterials and interfaces.
• The findings offer insights into peptide-surface interactions, relevant for biosensor and biomaterial applications.