Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven climate and disaster modeling

AI-driven climate and disaster modeling

Showing 265-276 of 295 articles

Employing neglected mathematical tools for chaotic fluid dynamics modeling

Through last glacial maximum conditions: reconstructing paleoclimate using ice core microbubbles

Predicting earthquake precursors via real-time analysis of mantle convection cycles and crustal stress patterns

Spanning tectonic plate movements with distributed fiber-optic strain sensing

Spanning tectonic plate movements for deep geological time applications

Updating Cold War research for supernova event readiness with modern detectors

During grand solar minimum: impacts on global climate modeling

Planning for the next glacial period using paleoclimatology and AI forecasting

Considering 2100 sea level rise impacts on underground urban infrastructure resilience

Anticipating 2080 population peaks through urban migration patterns and resource allocation

Projecting 2030 infrastructure needs with AI-driven climate resilience models

Uniting paleoclimatology ice core data with AI to predict next-century climate tipping points