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Found 3 papers, 1 papers with code
Perspectives on AI Architectures and Co-design for Earth System Predictability
This paper discusses the topic of the `AI Architectures and Co-design' session and associated outcomes.
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration
Crucial geothermal signatures often overlooked in traditional PFA are extracted using the GeoThermalCloud and analyzed by the subject matter experts to provide ML-enhanced PFA, which is informative for efficient exploration.
AdjointNet: Constraining machine learning models with physics-based codes
Results show that AdjointNet-based inversion can estimate process model parameters with reasonable accuracy.
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