Detail publikace

How levelling and scan line corrections ruin roughness measurement and how to prevent it

NEČAS, D. VALTR, M. KLAPETEK, P.

Originální název

How levelling and scan line corrections ruin roughness measurement and how to prevent it

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Surface roughness plays an important role in various fields of nanoscience and nanotechnology. However, the present practices in roughness measurements, typically based on some Atomic Force Microscopy measurements for nanometric roughness or optical or mechanical profilometry for larger scale roughness significantly bias the results. Such biased values are present in nearly all the papers dealing with surface parameters, in the areas of nanotechnology, thin films or material science. Surface roughness, most typically root mean square value of irregularities Sq is often used parameter that is used to control the technologies or to link the surface properties with other material functionality. The error in estimated values depends on the ratio between scan size and roughness correlation length and on the way how the data are processed and can easily be larger than 10% without us noting anything suspicious. Here we present a survey of how large is the problem, detailed analysis of its nature and suggest methods to predict the error in roughness measurements and possibly to correct them. We also present a guidance for choosing suitable scan area during the measurement.

Klíčová slova

SIMULATION; SURFACES

Autoři

NEČAS, D.; VALTR, M.; KLAPETEK, P.

Vydáno

17. 9. 2020

Nakladatel

Springer Nature

Místo

BERLIN

ISSN

2045-2322

Periodikum

Scientific Reports

Ročník

10

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

15

Strany počet

15

URL

Plný text v Digitální knihovně

BibTex

@article{BUT169070,
  author="David {Nečas} and Miroslav {Valtr} and Petr {Klapetek}",
  title="How levelling and scan line corrections ruin roughness measurement and how to prevent it",
  journal="Scientific Reports",
  year="2020",
  volume="10",
  number="1",
  pages="1--15",
  doi="10.1038/s41598-020-72171-8",
  issn="2045-2322",
  url="https://www.nature.com/articles/s41598-020-72171-8"
}