A Kagome-derived Mosaic lattice family $A_{3}$V9Te13 (A = Cs, Rb) with tunable strong electronic correlations

Abstract The pursuit of geometrically frustrated lattices beyond conventional paradigms remains a central challenge in the design of quantum materials. Herein, we report the discovery of the $A_{3}$ A 3 V 9 Te 13 ( A = Cs, Rb) family of vanadium-based intermetallic compounds, which host a unique two-dimensional Mosaic lattice derived from the Kagome network, composed of an ordered tessellation of triangles, squares, and pentagons. The Cs compound (CVT) exhibits strong electronic correlations, characterized by non-Fermi liquid behavior at low temperatures, an exceptionally large Sommerfeld coefficient, and a bulk phase transition at T * ≈ 47 K with a possible charge- or spin-related origin. Inspired by pressure-tuning in related Kagome systems, we demonstrate that the electronic ground state of this lattice is exquisitely tunable via chemical pressure. Systematic substitution of Cs with smaller Rb ions suppresses the $T^{*}$ T ∗ phase transition and the correlated electronic response, ultimately driving the system into a highly frustrated semiconducting ground state without long-range magnetic order down to 60 mK. This work unveils a new structural platform for exploring the interplay between geometric frustration and strong electron correlations, providing a chemically controllable platform for exploring the phase space between distinct correlated electronic states.

Authors

Institutions

Publication Details

Journal
Quantum Frontiers
Published
2026-08-25
DOI
https://doi.org/10.1007/s44214-026-00108-9
Primary Topic
Topological Materials and Phenomena
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Kagome-derived Mosaic lattice family $A_{3}$V9Te13 (A = Cs, Rb) with tunable strong electronic correlations

Ruidan Zhong, Qingchen Duan, Zhibin Qiu, Zhaoyi Li et al.
Quantum Frontiers
Topological Materials and Phenomena
article

A Kagome-derived Mosaic lattice family $A_{3}$V9Te13 (A = Cs, Rb) with tunable strong electronic correlations

Ruidan Zhong, Qingchen Duan, Zhibin Qiu, Zhaoyi Li, Hengxin Tan, Yusen Xiao, Xiaotong Xu, Shu Guo
article en

Abstract

Abstract The pursuit of geometrically frustrated lattices beyond conventional paradigms remains a central challenge in the design of quantum materials. Herein, we report the discovery of the $A_{3}$ A 3 V 9 Te 13 ( A = Cs, Rb) family of vanadium-based intermetallic compounds, which host a unique two-dimensional Mosaic lattice derived from the Kagome network, composed of an ordered tessellation of triangles, squares, and pentagons. The Cs compound (CVT) exhibits strong electronic correlations, characterized by non-Fermi liquid behavior at low temperatures, an exceptionally large Sommerfeld coefficient, and a bulk phase transition at T * ≈ 47 K with a possible charge- or spin-related origin. Inspired by pressure-tuning in related Kagome systems, we demonstrate that the electronic ground state of this lattice is exquisitely tunable via chemical pressure. Systematic substitution of Cs with smaller Rb ions suppresses the $T^{*}$ T ∗ phase transition and the correlated electronic response, ultimately driving the system into a highly frustrated semiconducting ground state without long-range magnetic order down to 60 mK. This work unveils a new structural platform for exploring the interplay between geometric frustration and strong electron correlations, providing a chemically controllable platform for exploring the phase space between distinct correlated electronic states.

Quantum FrontiersVol. 5(1)
Shanghai Jiao Tong University (CN), Southern University of Science and Technology (CN), Beijing Academy of Quantum Information Sciences (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Science and Technology Commission of Shanghai Municipality, Guangdong Provincial Pearl River Talents Program, National Key Research and Development Program of China
Openalex Percentile: Top 12%
Topological Materials and Phenomena
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.