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20172026
most citedA machine learning approach for efficient uncertainty quantification using multiscale methods

84 citations · 272 across the 24 of their papers we have counts for

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cond-mat.dis-nn2026

Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference

Hannah P. Menke, Ahmed H. Elsheikh, Lingli Wei +2

Geoenergy projects (CO2 storage, geothermal, subsurface H2 generation/storage, critical minerals from subsurface fluids, or nuclear waste disposal) increasingly follow a petroleum-…