Computational Science and Engineering

Rensselaer Professor Esther Wertz Appointed UPWARDS For the Future Faculty Fellow To Support Semiconductor Education, Workforce Training, and Research

Rensselaer Polytechnic Institute’s Esther Wertz, Ph.D., associate professor in the Department of Physics, Applied Physics, and Astronomy, has been appointed Rensselaer’s faculty fellow of UPWARDS for the Future. UPWARDS stands for the U.S.-Japan University Partnership for Workforce Advancement and Research & Development in Semiconductors. It was established in May 2023 by Micron and Tokyo Electron Limited to “to bring together 11 universities from across the U.S. and Japan to develop leading semiconductor curricula, creating opportunities for cross-collaboration.”

RPI To Host Panel on Sleep and Your Health April 16

We all know how a bad night’s sleep can affect how we feel. In fact, the disruption of our sleep has been implicated at many levels of human disease, including cancer, diabetes, heart disease, and disorders associated with aging.

Rensselaer Polytechnic Institute and IBM Unveil the World’s first IBM Quantum System One on a University Campus

Today, Rensselaer Polytechnic Institute (RPI) and IBM officially unveiled the world’s first-ever IBM quantum computer on a university campus. Building on RPI’s bicentennial celebration of 200 years of firsts, IBM Quantum System One will significantly enhance educational and research opportunities for the university, as well as with other academic institutions and organizations across the New York region that wish to partner with RPI.

Research Shows Even Positive Online Reviews are a Minefield for Firms

Customer’s online reviews of products and services are highly influential and have an immediate impact on brand value and customer buying behaviors. According to the Pew Research Center, “82% of U.S. adults say they at least sometimes read online customer ratings or reviews before purchasing items for the first time, including 40% who say they always or almost always do so.” How and whether to respond to online reviews is a critical consideration that may very well make or break a company’s success.

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.

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