Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning in scientific discovery

AI and machine learning in scientific discovery

Showing 37-48 of 74 articles

Via catalyst discovery algorithms to accelerate sustainable ammonia production

Connecting dark matter research with fluid dynamics for galactic rotation anomalies

Probing star formation efficiency across interstellar medium conditions in dwarf galaxies

Decoding cellular aging mechanisms employing NAD+ boosting and single-cell transcriptomics

For millisecond pulsar intervals in gravitational wave detection arrays

Circadian gene oscillations modulating neurotransmitter release events in hippocampal neurons

Via catalyst discovery algorithms for electrochemical ammonia synthesis at ambient conditions

Investigating molecular cloud formation across interstellar medium conditions with ALMA observations

Probing cosmological constant evolution through anomalous quasar redshift distributions

Simulating magnetar magnetic field decay for high-energy astrophysics models

Bridging fundamental and applied research in gamma-ray burst afterglows

Exploring multiverse hypotheses through unconventional methodologies in quantum cosmology