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Machine learning cannot decarbonise the subsurface until it can be audited

Menke, Hannah P. et al.
arXiv (All) · Papers
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disordered-systems-and-neural-networksmachine-learning
Geological CO2 storage, geothermal energy and underground hydrogen storage depend on irreversible or high-cost decisions made with sparse data and incomplete physical understanding. Machine learning (ML) increasingly informs these decisions, yet methods are usually judged on predictive accuracy rath
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