Machine learning identifies links between world’s oceans
Maike Sonnewald adapts a method that identifies areas of the global ocean with similar physics, revealing global dynamical regimes.
Maike Sonnewald adapts a method that identifies areas of the global ocean with similar physics, revealing global dynamical regimes.
Optical effect could be harnessed for light displays, litmus tests, and makeup products.
Scientists and engineers will collaborate in a new Climate Modeling Alliance to advance climate modeling and prediction.
Carl Wunsch continues to expand his foundational framework for understanding the behavior of worldwide oceans as a whole.
Study illuminates new mode of bacteria dispersal.
Long-term melting may lead to release of huge volumes of cold, fresh water into the North Atlantic, impacting global climate.
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
Experiments show shifting ripple patterns can signal times of environmental flux.
Through meticulous computations, nuclear science and engineering student Etienne Demarly simulates conditions inside a nuclear reactor.
Findings may help track movement of pesticides and biological contaminants.
Ken Kamrin’s model of granular material flow could impact how we interact with sand, soil, pills, industrial materials, and more.
New principled approach helps autonomous underwater vehicles explore the ocean in an intelligent, energy-efficient manner.