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 73-84 of 349 articles

Anticipating 2035 energy grid demands with quantum-optimized load forecasting

Anticipating 2035 energy grid demands with generative design optimization for microgrids

Enhancing continuous flow chemistry with AI-driven real-time optimization and adaptive control systems

For solid-state battery breakthroughs with solvent-free processing and AI optimization

Employing self-healing materials via self-supervised curriculum learning for aerospace applications

Self-optimizing microwave-assisted reactors for rapid nanomaterial synthesis

Predicting satellite hardware failures during solar proton events using machine learning

Optimizing aerospace components via generative design and cold spray additive manufacturing

Via predictive maintenance AI to reduce downtime in high-speed rail systems

Via predictive maintenance AI for aging nuclear power plants

Synthesizing future-historical approaches to predict next-generation battery chemistries

Optimizing neural network performance across axonal propagation delays in biological systems