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Mapping the local cosmic web | Penn State University

A new map of dark matter in the local universe reveals several previously undiscovered filamentary structures connecting galaxies. The map could enable studies about the nature of dark matter as well as about the history and future of our local universe. A new map of dark matter in the local universe reveals several previously undiscovered filamentary structures connecting

Mapping local cosmic web

Mapping the local cosmic web

 E-Mail IMAGE: An international team of researchers has produced a map of the dark matter within the local universe, using a model to infer its location due to its gravitational influence on. view more  Credit: Hong et. al., Astrophysical Journal UNIVERSITY PARK, Pa. A new map of dark matter in the local universe reveals several previously undiscovered filamentary structures connecting galaxies. The map, developed using machine learning by an international team including a Penn State astrophysicist, could enable studies about the nature of dark matter as well as about the history and future of our local universe. Dark matter is an elusive substance that makes up 80% of the universe. It also provides the skeleton for what cosmologists call the cosmic web, the large-scale structure of the universe that, due to its gravitational influence, dictates the motion of galaxies and other cosmic material. However, the distribution of local dark matter is currently unknown becau

Researchers Develop a Predictive Model and Closed-Loop Controller of Soft Robotic Fish

Researchers Develop a Predictive Model and Closed-Loop Controller of Soft Robotic Fish Written by AZoRoboticsMar 24 2021 Stuttgart - A team of scientists from the Max Planck Institute for Intelligent Systems (MPI-IS) in Germany, from Seoul National University in Korea and from the Harvard University in the US, successfully developed a predictive model and closed-loop controller of a soft robotic fish, designed to actively adjust its undulation amplitude to changing flow conditions and other external disturbances. Their work Modeling and Control of a Soft Robotic Fish with Integrated Soft Sensing was published in Wiley s Advanced Intelligent Systems journal, in a special issue on

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