Evidence map›Paper›PMID 40697507›Full record

ArticleNanoscale advances2025

Fast crystallographic texture mapping of atomically thin hBN films on Ni(111) using secondary electron contrast.

Vitaliy Babenko, Se Hun Joo, Anastasia P Krief, Evan Tillotson, Sarah J Haigh, Chris J Pickard, Stephan Hofmann

Abstract read
In one paragraph

Article in Nanoscale advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Vitaliy BabenkoDepartment of Engineering, University of Cambridge Cambridge CB3 0FA UK sh315@cam.ac.uk.ORCID https://orcid.org/0000-0001-5372-6487
Se Hun JooDepartment of Materials Science & Metallurgy, University of Cambridge Cambridge CB3 0FS UK.ORCID https://orcid.org/0000-0003-4507-150X
Anastasia P KriefDepartment of Engineering, University of Cambridge Cambridge CB3 0FA UK sh315@cam.ac.uk.
Evan TillotsonDepartment of Materials, University of Manchester Manchester M13 9PL UK.ORCID https://orcid.org/0000-0002-6097-8794
Sarah J HaighDepartment of Materials, University of Manchester Manchester M13 9PL UK.ORCID https://orcid.org/0000-0001-5509-6706
Chris J PickardDepartment of Materials Science & Metallurgy, University of Cambridge Cambridge CB3 0FS UK.ORCID https://orcid.org/0000-0002-9684-5432
Stephan HofmannDepartment of Engineering, University of Cambridge Cambridge CB3 0FA UK sh315@cam.ac.uk.ORCID https://orcid.org/0000-0001-6375-1459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput characterisation and fast sample quality feedback loops are essential for accelerating the development of advanced materials and their technological applications. This is particularly pertinent to the chemical vapor deposition (CVD) driven industrialisation of ultra-thin device materials, like hBN, where a complex texture at the atomic layer level remains hard to characterise efficiently, particularly over large areas. Here, we show that secondary electron contrast can be used to fingerprint the alignment of monolayer hBN domains with the Ni(111) surface, thus opening fast crystallographic texture mapping capabilities with conventional scanning electron microscopy (SEM). Density functional theory (DFT) computations indicate a work function difference of 50 meV between the two possible epitaxial hBN orientations and around 600 meV between epitaxial and non-epitaxial (rotated) hBN orientations, where we also account for vicinal Ni surfaces. Through self-consistent secondary electron contrast assignment, we demonstrate the effective and systematic analysis of the large-area structure of hBN CVD films and how this can provide insight into their growth process and evolution, including the nature of the resulting domain boundaries, adlayers and overlapping bilayer regions.

Identifiers

PMID40697507
PMCPMC12278833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.