Controllable crystal restructuring in MXene by electron irradiation
H. Zhang, T. Hu, W. Sun, M.M. Hu, R.F. Cheng, X.H. Wang

TL;DR
This paper demonstrates that electron irradiation can precisely manipulate atoms in MXene multilayers, enabling controllable crystal restructuring that enhances electrical properties and offers new avenues for atomic-scale engineering.
Contribution
It introduces a novel method for controllably restructuring MXene crystals using electron beams, overcoming previous challenges of random atom manipulation.
Findings
Electron irradiation removes hydroxyl H atoms, creating cation traps.
Transition metal atoms migrate into traps, causing crystal restructuring.
Restructuring improves electrical conductivity and reduces anisotropy.
Abstract
Recent decades have witnessed the breakthroughs in utilizing electron beams as the smallest tools to tailor materials. Whereas, the manipulation of atoms in a controllable manner by the electron beams is a long-time challenge due to the random nature of atom-knock-on. Here, we show that electron irradiation can controllably manipulate atoms in newly-developed MXene multilayers. The multilayers consist of many few-atom-thick transition metal carbide slabs that are terminated with hydroxyl and O functional groups on each slab. Upon electron irradiation, the H atoms of the hydroxyl are knocked off, creating cation traps surrounded by dangling O confined in a nano-sized slit. Simultaneously, the transition metal atoms partially struck away from the carbide slabs migrate into the cation traps periodically, resulting in crystal restructuring. Crystal restructuring is versatile for various…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMXene and MAX Phase Materials · Graphene research and applications · Advanced Memory and Neural Computing
