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AI-Assisted CO2 Mineralization Process Design and Optimization

Accountable
Natural Resources Canada (NRCan)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Research & Development
Input Dataset
About a measurement Anonymized data
Algorithm or Model
Classification & Prediction
Output Dataset
A recommendation or prediction Anonymized data

This tool uses machine learning to predict and optimize how industrial waste materials can be used to capture and permanently store carbon dioxide (CO2) through a chemical process called mineralization. It is used by Natural Resources Canada scientists and engineers to design better experiments and operating conditions. The system is an internal research tool and is not used to make decisions affecting members of the public.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta

Government of Canada – DTPR AI Register