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

AI-driven scientific discovery and automation

Showing 13-24 of 158 articles

Accelerating catalyst discovery through quantum machine learning for green ammonia synthesis

Probing magnetar magnetic field decay through X-ray polarization measurements

Via self-supervised curriculum learning for autonomous robotic fracture repair in microgravity

Accelerating catalyst discovery for green hydrogen production through machine learning algorithms

Studying gamma-ray burst afterglows during gravitational wave periods for multi-messenger astrophysics

Probing dark matter distributions through nanoradian angular precision in gravitational lensing

Decoding quantum gravity effects in Planck-scale approximations using explainability through disentanglement

Detecting biosignatures in exoplanet atmospheres through next-generation spectroscopy techniques

Mapping protein folding intermediates with microsecond-resolution cryo-electron microscopy

Employing retrieval-augmented generation for real-time scientific literature synthesis during solar flare events

Accelerating green chemistry via catalyst discovery algorithms and patent-expired molecular frameworks

Automated synthesis of rare-earth doped nanoparticles with flow chemistry robots