首页|Roughness spectroscopy of particle monolayer: Implications for spectral analysis of the monolayer image

Roughness spectroscopy of particle monolayer: Implications for spectral analysis of the monolayer image

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? 2022 The Author(s)The surface roughness of a particle monolayer is one of its fundamental characteristics, conventionally described in terms of power spectral density. We derive a general equation for this function and demonstrate its similarity to those applied in the theory of scattering. To validate our analytical results, we compare them with numerical results derived for a monolayer of 450nm spherical particles, of surface coverage 0.85. We also demonstrate a practical application of our approach on the example of spectral analysis of a SEM image of a polystyrene particle monolayer of surface coverage close to 0.5. Our theoretical model provides a general framework for a cheap and easy parametrization of particle monolayers.

2D random packingForm factorParticle image analysisPower spectral densityRadial distribution functionStatic structure factor

Weronski P.、Palka K.

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Jerzy Haber Institute of Catalysis and Surface Chemistry Polish Academy of Sciences

2022

Measurement

Measurement

SCI
ISSN:0263-2241
年,卷(期):2022.196
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