Cover Image, Volume 138, Issue 7

The image created by Regina Seidl and co‐workers show how Statistical Design of Experiments and Response Surface Methodology can successfully be applied to very effectively and systematically tailor and optimize polymeric materials to very specialized target property profiles. MF resins of a wide range of M:F molar ratios were produced at different initial pH values and analyzed for properties relevant for impregnation resins. A causal linear regression model based on the identified factor effects was developed to derive suitable process windows that yield good impregnation resins suitable for high‐performance decorative laminates. The presented methodology is highly effective and transferable to other polymer systems. DOI: 10.1002/app.50181