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New Estimates for Ice Sheet Mass Loss
An international consortium of researchers has calculated new estimates for the melting of Earth's ice sheets due to greenhouse gas emissions and its impact on sea levels, showing that ice sheets could contribute more than 40 cm of rise by 2100.
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Searching for Evidence of a ‘Neutrinoless’ Particle Process
Nuclear physicists at Berkeley Lab played a leading role in analyzing data for a demonstration that achieved record experimental precision using a specialized detector material. The data analysis component of this ground-breaking research was conducted entirely at NERSC.
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Near-Real Time Networked Analysis of KSTAR Data
Scientists and engineers have established a near real-time networked analysis of data taken at the KSTAR fusion experiment in South Korea. The framework is using Machine Learning and Artificial Intelligence algorithms running at NERSC for analysis of large data streams.
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Discovering Hundreds of New Gravitational Lenses
Scientists used neural networks running on Cori to identify 335 new gravitational lens candidates from data collected for in the Dark Energy Camera Legacy Survey (DECaLS) .
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Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19
Working closely with NERSC, a team of materials scientists at Berkeley Lab have created a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.
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