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Physics-informed Neuro-symbolic AI to Capture CO2

Primary supervisor

Buser Say


  • Paul Webley

The ability to capture carbon is expected to play a key role in the fight against climate change. A new apparatus is being developed at Monash University to capture carbon dioxide (CO2) from the air. This important technology provides a pathway to decrease the CO2 concentration in the atmosphere. A model of the apparatus needs to be developed in order to validate and understand its daily operations. However, the complexity of the underlying physics precludes us to build a fully physical model of the system where humidity, temperature, and pressure of ambient air all influence the performance of the unit as a function of changing climatic condition. Hence, an AI component is needed to incorporate real world effects into the overall design and control of the apparatus. Specifically, this research project will investigate Physics-informed Neuro-symbolic AI to learn a physics-based model of the apparatus from data, and will lay the groundwork for an AI model to help guide design and operation of the apparatus.


Required knowledge

A successful candidate should have:

  • a degree in Computer Science, Information Technology Engineering, or equivalent,
  • excellent mathematical and analytical skills,
  • excellent skills in machine learning (i.e., deep learning) and AI,
  • excellent communication skills (i.e., both written and verbal),
  • the ability to work independently, and
  • the ability to collaborate with a team of researchers and engineers.

Project funding

Project based scholarship

Learn more about minimum entry requirements.