Sustainable Product

Delivering sustainable product and process innovation

Sustainable Discovery

Sustainable product innovation through prediction of new materials behavior and collaborative understanding

Chemistry and materials research scientists are faced with an infinite variety of new molecular combinations and formulations from which they must develop the next blockbuster new product. Laboratory pre-screening of new chemicals and materials is costly and time consuming, and it is by no means certain that a viable product will emerge after testing. This, alongside global competitive challenges, regulatory requirements and materials costs creates financial and time barriers to successful new product development pipelines, 

Sustainable Discovery, a core process experience of Sustainable Product, enables researchers to overcome these barriers by providing a range of powerful design and modeling tools. It uniquely incorporates the widest range of atomistic and molecular predictive modeling solutions that can pre-screen and optimize new chemicals, materials and formulations. The module’s molecular modeling and simulation capabilities enable chemists and materials scientists to predict the characteristics and behaviors of new compounds that can reduce the need for physical testing.

With Sustainable Discovery, predictive modeling is used to screen the properties of polymer and composite materials, optimize catalysts in both the gas phase and on surfaces, enhance solvent choice for new chemicals, create new optoelectronic chemicals, and develop new battery materials. As a result, new product time to market is faster and the costs of new materials are lower, reducing investment requirements, increasing competitiveness and improving profitability. New products can also be tailored to better meet end-users’ requirements, leading to higher margins and further boosting profitability, as well as improving customer satisfaction.

How Sustainable Discovery can discover and design differentiated new products and built IP portfolios

  • Using atomistic and molecular predictive modeling solutions chemical and materials characteristics and behaviors can be tailored to meet market demand – simulation knowledge can be reused to optimize future innovations 
  • Through an increased understanding of the links between the structure and composition of chemicals/materials and their properties and behaviors, accelerate the discovery of more sustainable products for end-users
  • Greater efficiencies lead to a reduced time to market, optimizing funding costs for new product development and shortening the ‘concept to cash’ cycle
  • Enhance customer satisfaction by ensuring that the resulting chemicals and materials perform as they claim to and better meet end-user expectations.