Mass‑producing MXene scrolls unlock electronic phases and transport properties unattainable in flat flakes, accelerating high‑performance batteries, sensors, and smart fluids. This morphological control could reshape the MXene market and broader 2‑D material applications.
The MXene family has long promised a blend of metallic conductivity and tunable surface chemistry, yet most research has focused on flat, multilayer flakes. Converting these two‑dimensional sheets into one‑dimensional tubes has been a persistent hurdle, limiting access to phenomena such as quantum confinement and directional charge transport that are commonplace in carbon nanotubes and other rolled materials. By preserving hydroxyl terminations during etching and then exploiting water‑induced deprotonation, the Drexel‑Penn team introduced a controllable strain gradient that reliably curls MXene layers into scrolls, a breakthrough that scales to gram‑level production.
The scroll morphology dramatically reshapes electronic behavior. Conductivity measurements show a 33‑fold rise compared with conventional films, and niobium‑carbide scrolls uniquely enter a type‑II superconducting state at 5.2 K—an effect absent in their planar counterparts. These gains stem from both lattice strain and altered surface terminations, which together modify band structures and carrier pathways. The tubular architecture also creates open channels that accelerate ion diffusion, delivering a 3.7‑times higher charge‑storage rate in supercapacitor electrodes and a tenfold boost in humidity‑sensor responsiveness.
Beyond performance metrics, the ability to align scrolls with alternating‑current electric fields yields reversible electrorheological fluids, opening avenues for smart actuators and reconfigurable circuitry. The method’s compatibility with six MXene chemistries suggests a versatile platform for next‑generation energy storage, rapid‑response sensing, and flexible electronics. As industry seeks scalable routes to functional 2‑D materials, gram‑scale MXene scrolls could become a cornerstone technology, driving both academic inquiry and commercial adoption.
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