REVIEW 1 cited by
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Direct Exfoliation of Nanoribbons from Bulk van der Waals Crystals
read the original abstract
Confinement of monolayers into quasi-one-dimensional atomically-thin nanoribbons could lead to novel quantum phenomena beyond those achieved in their bulk and monolayer counterparts. However, current experimental availability of nanoribbon species beyond graphene has been limited to bottom-up synthesis or top-down patterning. In this study, we introduce a versatile and direct lithography-free approach to exfoliate a variety of bulk van der Waals (vdW) crystals into nanoribbons. Akin to the Scotch tape exfoliation in producing monolayers, this technique provides convenient access to a wide range of nanoribbons derived from their corresponding bulk crystals, including MoS2, WS2, MoSe2, WSe2, MoTe2, WTe2, ReS2, and hBN. The nanoribbons are single-crystalline, parallel-aligned, flat, and have high aspect ratio. We demonstrated the electrical, magnetic, and optical properties from the confinement, strain, and edge configurations of these nanoribbons. This versatile preparation technique will pave the way for future experimental investigation and broad applications in optoelectronic, sensing, electronic and quantum devices.
Forward citations
Cited by 1 Pith paper
-
Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
A new classifier derived from determinism and statistical consistency requirements achieves zero consistency error by construction and outperforms baselines on Adult, COMPAS, and Bank Marketing datasets.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.