Emergent Physics in Metal−Organic Frameworks

Shaoze Wang , Yingchao Wang , Haozhou Sun , Lei Sun

Chinese Journal of Chemistry ›› 2024, Vol. 42 ›› Issue (20) : 2514 -2519.

PDF
Chinese Journal of Chemistry ›› 2024, Vol. 42 ›› Issue (20) : 2514 -2519. DOI: 10.1002/cjoc.202400272
Emerging Topic

Emergent Physics in Metal−Organic Frameworks

Author information +
History +
PDF

Abstract

Many-body interactions in condensed matter could lead to emergent phenomena spanning superconductivity, ferromagnetism, exciton condensation,etc. The emergence of these phenomena often requires highly ordered spatial arrangements of the interacting species to enforce specific space symmetries and interacting strengths. Metal−organic frameworks (MOFs), crystalline materials formed by self-assembly of metal ions and organic ligands, allow for precise design of their crystal structures and sophisticated tuning of Coulombic interaction or magnetic coupling among lattice sites. Such atomic-level designability combined with high crystallinity and versatile types of lattices (e.g., kagome and honeycomb lattices) render MOFs as a great platform to investigate emergent physics. In this Emerging Topic, we summarize recent studies evidencing emergent phenomena in MOFs including strong correlations, superconductivity, charge density wave, long-range magnetic order, and quantum spin liquid. We highlight the great potential of MOFs as quantum materials and discuss challenges including growth of high-quality single crystals and in-depth physical characterizations to reveal insights into the nature of physical properties of MOFs.

Keywords

Metal-organic frameworks / Emergent physics / Strong correlations / Superconductors / Magnetic properties

Cite this article

Download citation ▾
Shaoze Wang, Yingchao Wang, Haozhou Sun, Lei Sun. Emergent Physics in Metal−Organic Frameworks. Chinese Journal of Chemistry, 2024, 42(20): 2514-2519 DOI:10.1002/cjoc.202400272

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

2024 SIOC, CAS, Shanghai, & WILEY-VCH GmbH

AI Summary AI Mindmap
PDF

131

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/