File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Theoretical Design and Synthesis of Metal–Inorganic Frameworks Using Host Atom-Centered Building Blocks for Efficient Catalysis with Diverse Reactive Sites

TitleTheoretical Design and Synthesis of Metal–Inorganic Frameworks Using Host Atom-Centered Building Blocks for Efficient Catalysis with Diverse Reactive Sites
Authors
Keywordsbuilding blocks
hydrogen evolution reaction
machine learning force field
metal–inorganic frameworks
platinum phosphides
Issue Date17-Dec-2024
PublisherWiley
Citation
Advanced Functional Materials, 2024 How to Cite?
Abstract

The modular assembly of organic molecules commonly guides the design of metal–organic frameworks (MOFs), yet the systematic exploration of inorganic building blocks remains limited. Given the promising applications in catalytic reactions and topological materials, the study of metal–inorganic frameworks (MIFs)—which fundamentally differ from the well-established MOFs—has become urgent. This study introduces a strategy for designing MIFs using host atom-centered building blocks, applied to the platinum–Phosphorus (Pt–P) system. By combining experimental observations with theoretical calculations, a Pt18P18 framework utilizing PtP3 building blocks, demonstrating significant energetic benefits is proposed. PtP3 units are employed to characterize Pt3P6 clusters within the pores, leading to a “compass” model that aligns with experimental findings. To address computational challenges associated with the large periodicity of the (Formula presented.) superstructure, a robust machine learning force field is developed. The analysis, combining surface nucleation studies, first-principles calculations, and machine learning techniques, provides a comprehensive understanding of MIF structure. This validated Pt–P MIF exhibits exceptional catalytic properties with diverse reaction sites, significantly outperforming Pt(111) in the hydrogen evolution reaction. The findings not only present additional candidates for practical applications of metal phosphides but also highlight the vast potential of MIFs, paving the way for the discovery of numerous promising materials.


Persistent Identifierhttp://hdl.handle.net/10722/353488
ISSN
2023 Impact Factor: 18.5
2023 SCImago Journal Rankings: 5.496
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHe, Chao-
dc.contributor.authorDong, Xingxing-
dc.contributor.authorZhang, Junqiu-
dc.contributor.authorXu, Shaogang-
dc.contributor.authorHuang, Xiang-
dc.contributor.authorWang, Hui-
dc.contributor.authorHe, Changchun-
dc.contributor.authorLiang, Xiaowei-
dc.contributor.authorXie, Maohai-
dc.contributor.authorXu, Hu-
dc.date.accessioned2025-01-18T00:35:24Z-
dc.date.available2025-01-18T00:35:24Z-
dc.date.issued2024-12-17-
dc.identifier.citationAdvanced Functional Materials, 2024-
dc.identifier.issn1616-301X-
dc.identifier.urihttp://hdl.handle.net/10722/353488-
dc.description.abstract<p>The modular assembly of organic molecules commonly guides the design of metal–organic frameworks (MOFs), yet the systematic exploration of inorganic building blocks remains limited. Given the promising applications in catalytic reactions and topological materials, the study of metal–inorganic frameworks (MIFs)—which fundamentally differ from the well-established MOFs—has become urgent. This study introduces a strategy for designing MIFs using host atom-centered building blocks, applied to the platinum–Phosphorus (Pt–P) system. By combining experimental observations with theoretical calculations, a Pt18P18 framework utilizing PtP3 building blocks, demonstrating significant energetic benefits is proposed. PtP3 units are employed to characterize Pt3P6 clusters within the pores, leading to a “compass” model that aligns with experimental findings. To address computational challenges associated with the large periodicity of the (Formula presented.) superstructure, a robust machine learning force field is developed. The analysis, combining surface nucleation studies, first-principles calculations, and machine learning techniques, provides a comprehensive understanding of MIF structure. This validated Pt–P MIF exhibits exceptional catalytic properties with diverse reaction sites, significantly outperforming Pt(111) in the hydrogen evolution reaction. The findings not only present additional candidates for practical applications of metal phosphides but also highlight the vast potential of MIFs, paving the way for the discovery of numerous promising materials.</p>-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofAdvanced Functional Materials-
dc.subjectbuilding blocks-
dc.subjecthydrogen evolution reaction-
dc.subjectmachine learning force field-
dc.subjectmetal–inorganic frameworks-
dc.subjectplatinum phosphides-
dc.titleTheoretical Design and Synthesis of Metal–Inorganic Frameworks Using Host Atom-Centered Building Blocks for Efficient Catalysis with Diverse Reactive Sites -
dc.typeArticle-
dc.identifier.doi10.1002/adfm.202418750-
dc.identifier.scopuseid_2-s2.0-85212210129-
dc.identifier.eissn1616-3028-
dc.identifier.isiWOS:001378395400001-
dc.identifier.issnl1616-301X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats