Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven scientific discovery and automation

AI-driven scientific discovery and automation

Showing 133-144 of 158 articles

Employing retrieval-augmented generation for real-time scientific literature synthesis in biomedicine

Reanalyzing failed experiments with controversial but promising approaches in catalysis

Targeting cellular senescence using explainability through disentanglement in AI models

Directed self-assembly of block copolymers with human-in-the-loop adaptation for nanofabrication

Mapping electron transfer pathways within attosecond timeframes using XFEL pulses

Accelerating catalyst discovery via multi-modal embodiment and real-time crystallization control

Investigating galactic rotation periods through high-resolution radio telescope arrays

Developing autonomous lab assistants for high-throughput chemical synthesis optimization

Measuring galactic rotation periods using variable star synchronization techniques

Deploying collaborative robot cells for precision assembly of flexible electronics

Reanalyzing failed exoplanet detection experiments for hidden atmospheric biosignatures

Via exoplanet atmosphere analysis to detect biosignatures in tidally locked worlds