Systems and methods for preparing a product
A system, apparatus, and/or method is disclosed for determining a value of a property of a considered chemical composition. An identity of a sample chemical composition may be received. A sample chemical composition may comprise ingredients. Each of the ingredients may be associated with a value of a chemoinformatic property of chemoinformatic properties of the sample chemical composition. A value of a property of the sample chemical composition and at least one of (1) the identity of the sample chemical composition or (2) the values of the chemoinformatic properties of the ingredients of the sample chemical composition may be input into a model. The value of the property of the considered chemical composition may be determined, via the model, based on at least one of (1) an identity of the considered chemical composition or (2) values of chemoinformatic properties of ingredients of the considered chemical composition.
1. A method comprising:
(a) receiving identities of features of a first composition, each of the features having a value of a predefined characteristic of predefined characteristics;
(b) receiving a value of a property of the first composition, wherein the property is affected by an interaction of at least two of the features of the first composition;
(c) training a learning model using the values of the predefined characteristics of the features of the first composition and the value of the property of the first composition;
(d) providing to the learning model identities of second features of a second composition, wherein at least one of the second features is different than at least one of the first features;
(e) determining, via the learning model, a value of a property of the second composition; and
(f) producing a product comprised of the second composition;
wherein the property of the second composition is affected by an interaction of at least two of the features of the second composition; and;
wherein steps (c)-(e) are performed by one or more processors;
wherein the first composition and second composition are selected from: oral care compositions; skin care compositions; home care compositions; pet food compositions; and hair care compositions.
2. The method according to claim 1 , wherein the first composition and the second composition are the same type of composition.
3. The method according to claim 2 , wherein a feature of the first composition and a feature of the second composition is an ingredient.
4. The method according to claim 1 , wherein the property of the first composition and the property of the second composition are the same property.
5. The method according to claim 1 , wherein the property of the first composition and the property of the second composition are a different property, the property of the second composition being derivable from the property of the first composition.
6. The method according to claim 1 , wherein the learning model is a machine learning model, the property of the second composition being determined via rules of the machine learning model.
7. The method according to claim 6 , wherein the machine learning model comprises a supervised learning approach.
8. The method according to claim 7 , wherein the supervised learning approach comprises at least one of a Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes Classification, or Logistic Regression rule.
9. The method according to claim 1 , wherein the property of the second composition relates to a physiochemical property.
10. The method according to claim 1 , wherein identities of the features of the first composition and identities of the features of the second composition are stored in a database.
11. The method according to claim 1 , wherein the value of the property of the first composition is identified via at least one of an experimental measurement of the first composition or a thermodynamic calculation of the first composition.
12. The method according to claim 1 , wherein the value of the property of the first composition is identified via an experimental measurement of the first composition.
13. The method according to claim 1 , wherein the value of the property of the first composition is comprised of at least one of a first value identified via an experimental measurement of the sample composition or a second value identified via a thermodynamic calculation.
14. The method according to claim 1 , wherein the product is a personal care product selected from: a toothpaste; a mouthwash; a shower gel; a body wash; a liquid hand soap; a fabric softener; a shampoo; a conditioner; a lotion; a cream; and an ointment.
15. The method according to claim 1 , wherein each of the second features of the second composition has a predefined characteristic having a value.
16. The method according to claim 15 , wherein the predefined characteristic is a chemoinformatic property.
17. The method according to claim 1 , comprising:
repeating steps (a)-(c) for a plurality of first compositions prior to performing step (d)-(e).