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