MaterialsIN, www.materialsIn.com, accelerates the discovery and development of alternate materials (e.g., safer, greener materials) by leveraging a proprietary methodology that combines machine learning techniques with the fundamentals of the physics, chemistry and engineering of materials.
MaterialsINsight, the company’s material discovery product, harnesses a proprietary data-driven engine to provide materials-related design and sustainability solutions. It empowers customers with information that allows for rapid decision-making in material usage, selection and discovery and enables accelerated innovation in the use of materials in an economically viable and socially-responsible manner.
This significantly minimizes customers’ cost and time-to-market, and enhances the use of materials in both current and next generation technologies. MaterialsINsight provides a ranking of materials based on a composite metric of sustainability for a given level of functionality.
MaterialsINsight provides clarity on materials selection and design based on their preferences for product performance; it balances the design intent with other factors, such as sustainability, functionality, and cost. The data-driven model utilizes a visualization tool to help companies make the most informed decisions when it comes to the materials used in their products.
MaterialsINsight for materials selection and design incorporates logic-based reasoning tools to rank criteria—from materials to components--with respect to their properties. It also demonstrates the tradeoffs associated with each alternative in order to arrive at the optimal material that meets the product’s design requirements.