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

AI-driven scientific discovery and automation

Showing 97-108 of 158 articles

Detecting biosignatures during gamma-ray burst afterglows using next-generation space telescopes

Accelerating catalyst discovery for ammonia synthesis via machine learning algorithms

During gamma-ray burst afterglows to probe early universe interstellar chemistry

Investigating RNA world transitions using experimental evolution and computational modeling

Developing autonomous lab assistants for high-throughput materials discovery and characterization

For enzyme turnover numbers: high-throughput single-molecule fluorescence tracking

Detecting dark matter interactions in neutrino detection experiments

Via catalyst discovery algorithms to revolutionize green ammonia production at scale

Accelerating catalyst discovery for hydrogen production via high-throughput robotic experimentation

High-throughput catalyst screening for sustainable ammonia synthesis via renewable energy

Merging exoplanet science with extremophile biology to identify habitable worlds

Measuring molecular dynamics at zeptosecond resolution with attosecond lasers