data-driven predictions
Machine Learning Transforms CO₂ EOR Predictions in Petroleum Engineering Studies
NeelRatan
Recent studies highlight how machine learning is enhancing numerical predictions for carbon dioxide Enhanced Oil Recovery (EOR). This technology allows for more accurate data-driven insights, potentially optimizing fossil fuel extraction while addressing environmental concerns related to carbon emissions.
# Revolutionizing Material Science: Predicting Properties with Limited Data
NeelRatan
Researchers at IISc have developed advanced machine learning models to predict semiconductor properties and discover new materials efficiently, even with limited data. This innovative approach could significantly enhance research and development in semiconductor technology and topological quantum materials, propelling future advancements in the field.
