Guiding Product Development
Strategic investments across the R&D portfolio
IMPROVED R&D OUTCOMES
Because AI can rapidly assess the likelihood of achieving the desired properties across millions of options, it can be used to:
REDIRECT RESOURCES TO SUCCESSFUL PROJECTS
Assess if a given research direction is likely to be a dead end, so that a project can be cancelled quickly if success is not likely.
Design Space Visualization for Guiding Investments
Learn how visualizations of achievable properties in different scenarios can be used to guide research.
Determine Research Direction
Evaluate likelihood of positive outcomes across a range of project directions. For example, it can be used to assess which substrate gives the highest likelihood of achieving project goals so that all further experiments are focused on that substrate.
Data-Driven Research Strategy
Learn how data-driven assessments of research directions drive R&D strategy at a global glass manufacturer.
Highlight Potential Risks and Opportunities
Run Scenarios Through the AI Model:
- What are the maximum achievable material properties with ingredients from various vendors?
- Will switching to sustainable ingredients impact material properties?
- Can the product be made at lower temperatures and still meet customer requirements?
- Which ingredients are essential to achieve market-leading properties in my products?
Understanding the impact of inclusion of rare earth metals on battery cathode performance
James Peerless, Emre Sevgen, Stephen Edkins, Jason Koeller (Citrine Informatics) et al. “Design space visualization for guiding investments in biodegradable and sustainably sourced materials” MRS Comms (2020).