Work

Completing the hierarchy of rotational defects in monolayer MoS 2 through symmetry-aware evolutionary search

Year: 2025

Type: article

Abstract: This work combines a symmetry-constrained evolutionary algorithm with a machine-learning force field backend to discover new three-fold rotational defects in monolayer molybdenum disulfide (MoS 2 ).

Source: Physical Chemistry Chemical Physics

DOI: 10.1039/d5cp03121d

Authors: Alexander Adel, Ralf Wanzenböck, Georg K. H. Madsen

Institution: TU Wien

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Austrian Science Fund

Awards: TU-DX: Towards Applications of 2D Materials, G8590477180, G9000084739

OpenAlex ID: W4417498612

FWCI: 0.212

Cites: 47

Cited by: 1

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