Materials Informatics Solutions Reviews and Ratings

Gartner defines the market for materials informatics solutions as software and services that apply advanced learning techniques to materials-related big data for better-predicting results by the characteristics of each material. These often platform-based offerings combine AI, advanced computational modeling, data analytics and database management capabilities to accelerate the discovery, selection and development of new materials in downstream engineering, product development and manufacturing. Materials informatics solutions enable scientists, engineers and data scientists at R&D, life sciences and materials science organizations to scale and optimize materials science workflows.

This technology enables organizations to move beyond material databases with light search functionality and lengthy, parameter-limited, expensive and failure-prone physical experiments to reduce the amount of time required to discover new material properties. Materials informatics solutions use domain-related data and historical experimentation results in conjunction with “in silico” design processes (e.g., simulations using descriptor transformation) and machine learning algorithms to rapidly predict candidates for new materials that were previously undiscoverable using existing methodologies. Materials informatics solutions use cases also include streamlining recipe formulation and enabling toxicity and carcinogenicity prediction modeling.