Research Overview

A common challenge faced by researchers during material R&D is from a data perspective, such as availability of highly fragmented information due to data systems that vary from application to application, fluctuating data quality and inability to access curated external research activities effectively. Integration of digital technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Big Data Analytics etc. can successfully addresses challenges faced by R&D teams and reducing time to market.

The research service titled “Innovations in Digital Technologies Transforming Material R&D” provides an overview of how digital technologies can overcome the challenges currently faced during R&D of materials and chemicals. The technological advancements in digital platforms have been captured emphasizing on how each digital technology can contribute and influence material R&D ( Research and Development) process.

This research service also provides a comprehensive overview of key stakeholders who are developing platforms that can be used by material developers for various R&D and new product developmental effortsVarious strategies opted by material stakeholders in the industry such as technology licensing, joint developmental efforts to implement digitization tools in collaboration with the solution providers are also highlighted.