Formulating via web-apps based on predictive sciences

 
The applied predictive formulation sciences, Hansen Solubility Parameters (HSP) and Hydrophilic Lipophilic Difference (HLD) are very powerful to find matching ingredients, resulting in improved compatibility between ingredients and performance of end-products. These models are applicable to solutions, dispersions and emulsions, which basically includes all types of formulated products. The equations require practical parameters of the ingredients. Once generated, compatible combinations can be predicted to develop and optimize specific formulations. The ingredient parameters generated via the models are predictive and sustainable: you can use them repeatedly, allowing you to move away from trial-and-error and use digitalization in product developments. This is a very efficient way to enhance the properties in addition to reducing the complexity, time and cost of developing formulations or ingredients. Based on these predictive ingredient parameters, web-apps are developed to formulate end-products, which will be demonstrated, to show how this can boost efficient coating and ingredient developments.