Patent ID: 11862300
Assignee: DOW GLOBAL TECHNOLOGIES LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A method, comprising:
receiving a request for a substitute chemical product for a particular chemical product, the particular chemical product having a performance characteristic;
creating a digital formulation graph comprising a plurality of nodes and a plurality of edges based on a formulation for the particular chemical product, wherein:
a root node represents the particular chemical product;
a remainder of the plurality of nodes each represent a respective ingredient of the formulation; and
each of the plurality of edges exists between a respective parent node and a respective child node;

providing a respective embedding vector for each respective node;
inputting the digital formulation graph and embedding vectors to a graph neural network (GNN) trained to produce a feature vector for the digital formulation graph based on the embedding vectors and an architecture of the GNN;
inputting the feature vector to an unsupervised machine learning model trained to compare chemical products based on feature vectors of the chemical products; and
receiving a recommendation from the unsupervised machine learning model of one of a plurality of chemical products to be the substitute chemical product.