Research
Patents
Predictive Design-Space Metrics for Materials Development
Patent granted no. 10,675,300
Patent granted no. 10,675,300
Guide strategic R&D portfolio decisions through systematic predictive evaluation of whether a design space contains improved materials. Described in detail in this paper in NJP Computational Materials.
Two-stage sampling for accelerated deformulation generation
Patent granted no. 17,578,759
Patent granted no. 17,578,759
A smart way to figure out the formulation used in a competitor’s product.
Product Design Integration
Patent granted no. 11,004,037 B1
Patent granted no. 11,004,037 B1
Co-optimize product performance with the underlying materials properties through capability maps. Capability maps like this convey the achievability of various target property combinations.
Using Machine Learning to Explore Formulations Recipes with New Ingredients
Patent granted no. 10,984,145 B1
Patent granted no. 10,984,145 B1
A methodology to rank candidate formulations recipes based on their likelihood of achieving target specifications. These recipes can include previously untested ingredients.
