Artificial intelligence-based sustainable material design

One or more non-transitory computer-readable storage media configured to store instructions that, in response to being executed, cause an electronic device to perform operations, the operations comprising:

• receiving a dataset that includes information associated with scientific literature;
• applying one or more neural network models on the dataset;
• determining a set of materials and information associated with each material of the set of materials, based on the application of the one or more neural network models;
• generating a first set of embeddings indicative of a first set of features of each material of the set of materials;
• generating a second set of embeddings associated with textual content that describes effects the set of materials on resources of a living environment;
• training a generative artificial intelligence (AI) model based on the first set of embeddings and the second set of embeddings;
• receiving a user input indicative of information associated with a queried material;
• generating a third embedding indicative of a second set of features of the queried material and a fourth embedding associated with textual content that describes effects of the queried material on the resources of the living environment;
• applying the generative AI model on the third embedding and the fourth embedding;
• determining sustainability information associated with the queried material based on the application of the generative AI model;
• and
• controlling a display device to render the sustainability information associated with the queried material.

An electronic device, comprising:

• a memory configured to store instructions;
• and
• a processor, coupled to the memory, configured to execute the instructions to perform a process comprising:
• receiving a dataset that includes information associated with scientific literature;
• applying one or more neural network models on the dataset;
• determining a set of materials and information associated with each material of the set of materials, based on the application of the one or more neural network models;
• generating a first set of embeddings indicative of a first set of features of each material of the set of materials;
• generating a second set of embeddings associated with textual content that describes effects of the set of materials on resources of a living environment;
• training a generative artificial intelligence (AI) model based on the first set of embeddings and the second set of embeddings;
• receiving a user input indicative of information associated with a queried material;
• generating a third embedding indicative of a second set of features of the queried material and a fourth embedding associated with textual content that describes effects of the queried material on the resources of the living environment;
• applying the generative AI model on the third embedding and the fourth embedding;
• determining sustainability information associated with the queried material based on the application of the generative AI model;
• and
• controlling a display device to render the sustainability information associated with the queried material.