Provision of Integrated Computational Approaches for Addressing New Markets Goals for Introduction of Safe-and-Sustainable-by-Design Chemicals and Materials

The EU Chemical Strategy for Sustainability (CSS), Zero Pollution Action Plan and Circular Economy Action Plan all related to the European Green Deal and EU's 2030 Climate Target on the way to climate neutrality call for a twin green & digital transition to a sustainable, climate-neutral and circular as well as globally competitive and resilient economy. One key requirement for strengthening critical raw materials resilience, decreasing energy consumption and greenhouse gas emissions, and reaching the zero-pollution goal and a toxic-free environment, as laid out in the policies above, is the achievement of the ambitious market goals for the development of Safe-and-Sustainable-by-Design (advanced) materials and chemicals. These alternatives, called AdMa&Chems in short here, need to provide the functionality that is required of those that are replaced and have an improved safety and sustainability performance taking into account the complete value chain and life cycle as outlined in the Safe and Sustainable by Design (SSbD) Framework by the EU Joint Research Centre and adopted in the Commission Recommendation of 8 Dec. 2022. PINK will exploit the potential of computation models and artificial intelligence approaches to dramatically decrease the time needed for developing such intrinsically safer and more sustainable AdMa&Chems by supporting every stage from early development to product registration and market introduction. PINK will integrate these methods into an open innovation platform, the PINK In Silico Hub (PINKISH), allowing access to all the information and knowledge and executing SSbD workflows customisable to the application area of the AdMa&Chems, safety and sustainability concerns of the materials and the status of the development project (from early design ideas to registration and market entry) following a tiered approach with respect to the throughput and confidence levels of the methods used.