White Papers

This white paper focuses on the building of the value, in this case the ability to conceive, evaluate, create, and deliver new materials that meet your business’s goals, meet or exceed the sustainability targets, and differentiate your solutions in the global market.

Learn about AI and the new toolset for digital innovation in materials, and how executives can create the strategy and define the value early to leverage technology in product R&D.

How AI supports materials and chemicals companies in their efforts to source sustainably, make processes more efficient and develop sustainable products. 

Digital transformation is a key business initiative of most of the world's large chemicals and materials companies. This paper identifies critical success factors for digitalization in materials and chemicals and how the Citrine Platform supports them.

Learn how materials informatics can systematically improve return on investment (ROI) for new product development, with a platform that becomes more powerful with each new project.

Paper discussing how implementing a 3rd party Materials Informatics platform frees up the time of your data science team to do what they are good at.

To meet ever-shifting market, customer and supply demands, leaders in the coatings industry have adopted materials informatics (MI) to accelerate formulation development.

Formulations development has unique challenges associated with the vast spectrum of possible ingredient combinations and the complex rules that govern their mixing. Learn how we address these challenges with formulations-specific AI and data management approaches.

This paper explains and gives examples of how AI can be used to efficiently explore the highly multi-dimensional challenge of developing new catalysts and how hierarchical, graphical AI models can be used to model complex interactions and compensate for scarce data through transfer learning. 

This paper explores how AI can be used to accelerate developments in additive manufacturing materials, and how AI can help optimize processing parameters.

Better batteries with with higher energy density and the ability to charge quickly are needed to enable the energy transition. This paper explores how AI can be used to reach ambitious battery property targets quickly, through material development, battery configuration optimization and improved battery testing. 

Physics-based models (PBMs) are used extensively in materials research, primarily as a proxy for more time and cost intensive experimental material production and characterization.

Learn how Machine Learning for Materials and typical AI applications are different. See how Citrine has overcome these difficulties and why off-the-shelf open source AI will require a lot of tailoring to make it work in this space.

Learn how the Citrine Platform integrates domain knowledge to accelerate development and increase knowledge sharing across a materials or chemicals business.

Learn how data can be used to accelerate materials development. Read about the principles of good data management. See how Citrine's Platform supports data management in a way that is tailored for materials and chemicals industries.

Learn about the landscape of data management software in the materials and chemicals industry and understand the benefits that a Materials Informatics System can bring.

What features should you look for when evaluating Materials Informatics Systems? How do you make sure that your team gets the most benefit from Materials Informatics?

Read how the Citrine Platform ensures that companies get the most benefit from materials informatics.

Learn how Citrine systematically keeps its customers secure.