Key Highlights
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A new study finds that current leading nuclear fusion designs (magnetic and laser inertial) are unlikely to become economically competitive with other clean energy sources due to low expected learning rates.
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Researchers discovered that precisely adjusting the top nanometer of a CsPbI3 perovskite solar cell creates strong surface dipoles, boosting power conversion efficiency from about 10% to 20% and significantly improving stability.
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A new machine learning model using neural networks can predict geothermal rock permeability from NMR data with over 94% accuracy, offering a faster and cheaper alternative to traditional lab testing.
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