Strengthening Tungsten Diboride toward a Superhard Material by Ordered Vacancy Pairs

Tungsten diboride (WB_{2+x}) has been predicted to be a superhard material. It, however, has yet to be practically realized, because of its intrinsically low toughness, without involving favorable dislocation slip systems. Here, we report a viable strategy to effectively strengthen both the toughness and hardness of WB_{2+x} by introducing ordered atomic vacancies to increase dislocation mobility along certain directions. By doping with rhenium atoms, the ordered metal-vacancy pairs are revealed to occur extensively in the optimally doped sample with a composition of (W_{0.9}Re_{0.1})_{1-δ}B_{2+x} synthesized under high pressure. Such vacancy pairs are found to mainly reside in the {210} and {102} planes, along which the long-range dislocations are kinetically favored for improving its toughness and plasticity to achieve a load-invariant superhardness of ∼40 GPa. In addition, its thermal stability is drastically promoted and rivals that of cubic boron nitride (cBN). These discoveries not only experimentally identify a superhard material but also provide powerful insights into how the mechanical properties of transition-metal diborides can be improved by tailoring atomic deficiencies.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2026-02-09
DOI
https://doi.org/10.1103/x4td-mf2s
Citations
1
Primary Topic
Boron and Carbon Nanomaterials Research
Type
article
Field-Weighted Citation Impact
16.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strengthening Tungsten Diboride toward a Superhard Material by Ordered Vacancy Pairs

Yusheng Zhao, Xuefeng Zhou, Shanmin Wang, Yang Yu et al.
1 citations
Physical Review Letters
Boron and Carbon Nanomaterials Research
16.08
article

Strengthening Tungsten Diboride toward a Superhard Material by Ordered Vacancy Pairs

Yusheng Zhao, Xuefeng Zhou, Shanmin Wang, Yang Yu, Xiaojun Xiang, Chao Gu
article en
1 citations

Abstract

Tungsten diboride (WB_{2+x}) has been predicted to be a superhard material. It, however, has yet to be practically realized, because of its intrinsically low toughness, without involving favorable dislocation slip systems. Here, we report a viable strategy to effectively strengthen both the toughness and hardness of WB_{2+x} by introducing ordered atomic vacancies to increase dislocation mobility along certain directions. By doping with rhenium atoms, the ordered metal-vacancy pairs are revealed to occur extensively in the optimally doped sample with a composition of (W_{0.9}Re_{0.1})_{1-δ}B_{2+x} synthesized under high pressure. Such vacancy pairs are found to mainly reside in the {210} and {102} planes, along which the long-range dislocations are kinetically favored for improving its toughness and plasticity to achieve a load-invariant superhardness of ∼40 GPa. In addition, its thermal stability is drastically promoted and rivals that of cubic boron nitride (cBN). These discoveries not only experimentally identify a superhard material but also provide powerful insights into how the mechanical properties of transition-metal diborides can be improved by tailoring atomic deficiencies.

Physical Review LettersVol. 136(10)
Eastern Institute of Technology (NZ), Chinese Academy of Sciences (CN), Southern University of Science and Technology (CN), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area (CN)
Climate action
Openalex Percentile: Top 2%
Boron and Carbon Nanomaterials Research
16.08
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.