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This paper presents an advanced GNN surrogate for forecasting CO2 plume migration in complex geological formations, introducing an anisotropic message-passing mechanism to handle directional transport, aiming to accelerate carbon capture and storage simulations.
Researchers have developed a method to convert polystyrene waste into a solid material that effectively captures CO2 from both smokestacks and ambient air, with tunable properties that could help reduce plastic waste and the carbon footprint of carbon capture.