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Related Experiment Video

Updated: Feb 17, 2026

Preparation of Large-area Vertical 2D Crystal Hetero-structures Through the Sulfurization of Transition Metal Films for Device Fabrication

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Large-Scale Cooperative Sulfur Vacancy Dynamics in Two-Dimensional MoS₂ From Machine Learning Interatomic Potentials.

Aaron Flötotto¹, Benjamin Spetzler², Rose von Stackelberg¹

¹Institut für Physik, Institut für Mikro- und Nanotechnologien, Technische Universität Ilmenau, Ilmenau, Germany.

Small (Weinheim an Der Bergstrasse, Germany)

|February 16, 2026

Summary

This summary is machine-generated.

Extended sulfur vacancies in molybdenum disulfide (MoS₂) monolayers are key to catalytic and memristive properties. Molecular dynamics simulations reveal cooperative vacancy transport mechanisms, explaining experimental defect patterns.

Keywords:

machine learning interatomic potentials transition‐metal dichalcogenides vacancy dynamics

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Published on: April 12, 2019

Area of Science:

Materials Science
Condensed Matter Physics
Computational Chemistry

Background:

Extended sulfur vacancies in molybdenum disulfide (MoS₂) monolayers are linked to catalytic activity and memristive behavior.
Understanding vacancy formation and transport is crucial for optimizing MoS₂-based devices.

Purpose of the Study:

To elucidate the atomistic mechanisms of cooperative sulfur vacancy transport in MoS₂ monolayers.
To provide an explanation for experimentally observed irradiation-induced vacancy patterns, including line defects.
To compare the performance of different machine learning interatomic potential (MLIP) frameworks for simulating these phenomena.

Main Methods:

Nanosecond-scale molecular dynamics (MD) simulations.
Utilizing machine learning interatomic potentials (MLIPs), including Gaussian approximation potential (GAP) and fine-tuned equivariant foundation models.
Analyzing cooperative vacancy transport and cluster formation.

Main Results:

Identified key mechanisms of cooperative vacancy transport, enabling the formation of vacancy clusters of various sizes.
Provided a coherent atomistic explanation for experimentally observed irradiation-induced vacancy patterns, such as line defects spanning tens of nanometers.
Evaluated and compared the performance of two distinct MLIP frameworks for simulating vacancy dynamics.

Conclusions:

Cooperative vacancy transport plays a significant role in the formation of extended defects in MoS₂ monolayers.
MLIPs are effective tools for simulating complex defect dynamics at the atomistic level.
The findings offer insights into defect engineering for enhanced catalytic and memristive applications of MoS₂.