Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning for predictive modeling and optimization

AI and machine learning for predictive modeling and optimization

Showing 169-180 of 349 articles

Decoding millisecond pulsar intervals for gravitational wave detection

Mapping circadian gene oscillations in shift workers using single-cell transcriptomics

Employing neglected mathematical tools for optimizing carbon capture efficiency

Predicting megayear material degradation across continental drift velocities

Optimizing lights-out production through AI-driven predictive maintenance in semiconductor manufacturing

Integrating exascale computing with synthetic biology for metabolic pathway optimization

Optimizing hydrogen fuel production via machine learning catalyst discovery algorithms

Via predictive maintenance AI in fusion reactor plasma-facing components

Predictive maintenance AI for fusion reactor divertor plates with 50-year durability requirements

Redox flow battery optimization via machine learning-driven electrolyte formulation

Probing nanoradian angular precision in gravitational wave detector calibration

Via self-optimizing reactors for adaptive chemical synthesis under dynamic conditions