Chalcogen Vacancies as Key Drivers of Distinct Physicochemistry in MoS <sub>2</sub> , MoSe <sub>2</sub> , and MoTe <sub>2</sub> for Selective Catalysis

The catalytic performance of Mo-based transition-metal-dichalcogenide (TMD) monolayers is intrinsically tied to their physicochemical properties. However, the limited chemical diversity among these materials constrains their versatility for key catalytic processes, including carbon dioxide (CRR), nitrogen (NRR), and oxygen (ORR) reduction reactions. This study employs density functional theory (DFT) calculations to investigate the impact of chalcogen vacancies on the properties of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoS</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoS}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoSe</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoSe}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoTe</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoTe}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , focusing on the adsorption behaviors of CO, NO, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>NO</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{NO}}_2 }$</mml:annotation> </mml:semantics> </mml:math> . The findings reveal that chalcogen vacancies not only enhance surface reactivity but also impart distinctive physicochemical characteristics to each TMD. These effects arise from intrinsic bonding differences, resulting in distinct charge availability at exposed Mo atoms and variations in vacancy dimensions, which shape specific surface interactions. Hence, while adsorption differences between pristine surfaces are generally negligible for catalysis, vacancies amplify them by over an order of magnitude, resulting in pronounced material-specific behaviors. Moreover, varying vacancy dimensions affect how species incorporate into defects, further enhancing the differences. These characteristics unlock substantial potential of TMD sheets for distinct surface chemistries, transforming them from relatively similar to markedly different as defect density rises. Consequently, our findings provide insights for tailoring these materials toward applications in electro- and photocatalysis.

Authors

Institutions

Publication Details

Journal
Chemistry - A European Journal
Published
2025-02-18
DOI
https://doi.org/10.1002/chem.202500324
Citations
3
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
1.55
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chalcogen Vacancies as Key Drivers of Distinct Physicochemistry in MoS 2 , MoSe 2 , and MoTe 2 for Selective Catalysis

Maciej J. Szary, Emilia Piosik
3 citations
Chemistry - A European Journal
2D Materials and Applications
1.55
article

Chalcogen Vacancies as Key Drivers of Distinct Physicochemistry in MoS 2 , MoSe 2 , and MoTe 2 for Selective Catalysis

Maciej J. Szary, Emilia Piosik
article en
3 citations

Abstract

The catalytic performance of Mo-based transition-metal-dichalcogenide (TMD) monolayers is intrinsically tied to their physicochemical properties. However, the limited chemical diversity among these materials constrains their versatility for key catalytic processes, including carbon dioxide (CRR), nitrogen (NRR), and oxygen (ORR) reduction reactions. This study employs density functional theory (DFT) calculations to investigate the impact of chalcogen vacancies on the properties of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoS</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoS}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoSe</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoSe}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>MoTe</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{MoTe}}_2 }$</mml:annotation> </mml:semantics> </mml:math> , focusing on the adsorption behaviors of CO, NO, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>NO</mml:mi> <mml:mn>2</mml:mn></mml:msub> <mml:annotation>${{\rm{NO}}_2 }$</mml:annotation> </mml:semantics> </mml:math> . The findings reveal that chalcogen vacancies not only enhance surface reactivity but also impart distinctive physicochemical characteristics to each TMD. These effects arise from intrinsic bonding differences, resulting in distinct charge availability at exposed Mo atoms and variations in vacancy dimensions, which shape specific surface interactions. Hence, while adsorption differences between pristine surfaces are generally negligible for catalysis, vacancies amplify them by over an order of magnitude, resulting in pronounced material-specific behaviors. Moreover, varying vacancy dimensions affect how species incorporate into defects, further enhancing the differences. These characteristics unlock substantial potential of TMD sheets for distinct surface chemistries, transforming them from relatively similar to markedly different as defect density rises. Consequently, our findings provide insights for tailoring these materials toward applications in electro- and photocatalysis.

Chemistry - A European JournalVol. 31(23)
Poznań University of Technology (PL)
Openalex Percentile: Top 20%
2D Materials and Applications
1.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.