Abstract: Chemical formulations for chemical products can be represented by digital formulation graphs for use in machine learning models. The digital formulation graphs can be input to graph-based algorithms such as graph neural networks to produce a feature vector, which is a denser description of the chemical product than the digital formulation graph. The feature vector can be input to a supervised machine learning model to predict one or more attribute values of the chemical product that would be produced by the formulation without actually having to go through the production process. The feature vector can be input to an unsupervised machine learning model trained to compare chemical products based on feature vectors of the chemical products. The unsupervised machine learning model can recommend a substitute chemical product based on the comparison.

Abstract: Machine vision technology can be used to predict a property of a product generated by a chemical process. The prediction can be based on an analytical characterization of the chemical process or the product generated by the chemical process with a detector that generates series data. The series data can be converted to an image and input to an artificial neural network (ANN) trained to predict the property of the product based on the image. A prediction of a property of the product can be received from the ANN and used to adjust the chemical process or to determine whether to reject the product.

Abstract: A reaction composition contains (a) an allyl polyether having the following formula: CH2=CHCH2O-Aa-B where, (i) subscript a is 2 to 170; (ii) A is selected from: —CH2CH2O—; —CH2CH(CH3)O—; —CH(CH3)CH2O—, CH2CH(CH2CH3)O—; —CH(CH2CH3)CH2O, —CH2CF(CF3)O—, —CF(CF3)CF2O— and —CF2CF(CF3)O—; and (iii) B is selected from —H, —CH3, —CH2CH3, —CH2CH2CH3, —CH2CH2CH2CH3, —C(O)CH3, and —CF2CF2CF3; (b) A silyl hydride functional siloxanc comprising the following siloxane units [R2HSiO1/2]m[R2SiO2/2]d[R2SiO3/2]t[SiO4/2]q wherein d+t+q is one or more and wherein: (i) R is selected from hydrocarbyl groups liaing from one to 8 carbon atoms; (ii) subscript m is 2 or more; (iii) subscript d is zero to 20; (iv) subscript t is zero to 2; (v) subscript q is zero to 2; and (c) a platinum-based hydrosilylation catalyst; where there are at least 4 molar equivalents of silyl hydride functionalities relative to allyl functionalities in the reaction composition.