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

AI-driven scientific discovery and automation

Showing 145-156 of 158 articles

Bridging multiverse hypotheses with observational cosmology constraints

Optimizing carbon capture efficiency via catalyst discovery algorithms for electrocatalytic CO2 conversion

Developing automated retrosynthesis pipelines for femtosecond pulse interactions in photochemistry

Autonomous lab assistants for high-throughput synthesis of perovskite solar cells

Via exoplanet atmosphere analysis with next-generation space telescopes

Employing retrieval-augmented generation to accelerate discovery in rare earth chemistry

Autonomous flow chemistry robots for high-throughput discovery of extraterrestrial-relevant organics

Mapping exoplanet atmospheric composition via deep learning-enhanced spectral analysis techniques

Bridging quantum biology with information theory to decode cellular communication mechanisms

At picometer precision: Sim-to-real transfer for next-generation atomic-scale fabrication

Via exoplanet atmosphere analysis to detect biosignatures in tidally locked systems

Via self-supervised curriculum learning in robotic material discovery