Collected Experimental Data For "Exploring Wetting and Optical Properties of CuAg Alloys via Surface Texture Morphology Analysis"

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Authors: Benedykt R. Jany
Cited by: 0

Abstract

Collected Experimental Data For "Exploring Wetting and Optical Properties of CuAg Alloys via Surface Texture Morphology Analysis" CuAg-SurfaceTextureMorphology.csv Database of measured properties of Cu, Ag, CuAg layers on surface textured Si in ambient conditions C-Microscopy.zip Colorimetric Microscopy (C-Microscopy)Color Calibrated Images of Cu, Ag, CuAg layersD65 Illuminant, 2deg CIE1931 Standard Observerimage width: 438 microns ModelCA.zip Machine Learning model for water Contact Angle prediction for metal layers (Cu, Ag, CuAg) on surface textured Si in ambient conditions. Exemplary Python program included. Model Scores for CA prediction: RMSE: 6.15 deg, MAE: 4.93 deg, MAPE: 5.1 %

Fields of Study & Subjects

Surface Modification and Superhydrophobicity Nanomaterials and Printing Technologies Surface Roughness and Optical Measurements

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN
Document type
Dataset