Center for Computational Innovations (CCI)

Rensselaer Researcher Receives DOE Grant To Develop Models That Track the Formation of Black Holes

When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation. Detection of these types of signals from modern physics detectors is notoriously hard and presents computational challenges that push the bounds of modern and next-generation computing. Transmitting and analyzing the data from the massive particle physics detectors to the next generation of extreme-scale computing will require detailed modeling of the networking, hardware, and leadership class computing systems. These models will allow researchers to find and optimize the computing pathways, configurations, and infrastructure topologies so that they can handle these massive data loads.

Rensselaer Researcher Transforms Our Understanding of Crystals

When most people think of crystals, they picture suncatchers that act as rainbow prisms or the semi-transparent stones that some believe hold healing powers. However, to scientists and engineers, crystals are a form of materials in which their constituents – atoms, molecules, or nanoparticles – are arranged regularly in space. In other words, crystals are defined by the regular arrangement of their constituents. Common examples are diamonds, table salt, or sugar cubes. 

FBI Honors Rensselaer Polytechnic Institute President Shirley Ann Jackson

Rensselaer Polytechnic Institute President Shirley Ann Jackson was recognized by the Federal Bureau of Investigation (FBI) for her outstanding contributions to the community. FBI officials presented President Jackson with the FBI Albany Division’s 2020 Director’s Community Leadership Award at a ceremony on Tuesday.

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