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Science Vignettes

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Mapping Neutral Hydrogen in the Early Universe

Researchers at Berkeley Center for Cosmological Physics (BCCP) developed a model that produces maps of the 21cm emission signal from neutral hydrogen in the early universe. Thanks to NERSC supercomputers, the team was able to run simulations with enough dynamic range and fidelity to theoretically explore this uncharted territory which contains 80% of the feasibly observable universe by volume and holds the potential to revolutionize cosmology. Read More »

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Enabling Thermochemistry Estimation using Deep Learning

MIT researchers developed an automated system to continually perform quantum chemistry calculations and use the results to continually retrain a deep learning model for predicting the thermochemistry, i.e., enthalpy of formation, entropy, and heat capacities, of complex polycyclic molecules. A novel approach for estimating uncertainties in these predictions was used to identify which new molecules should be refined with quantum chemistry and added to the training data set. NERSC resources enabled performing many quantum chemistry calculations automatically and in parallel. Read More »

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Towards Simpler Fusion Power Devices

The ability to model self-organized magnetically confined plasma systems is an important tool for the goal of predictive modeling of devices for design of fusion power systems. This work has expanded the confidence in the modeling of a complicated plasma configuration that imposes large perturbations with a time-dependent 3-D structure. Read More »

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Cutting Edge Simulations of Lasers Interacting With Dense Plasmas

Intense laser pulses can quickly deposit large amounts of energy into solid materials, thus creating dense plasmas and subjecting matter to extreme temperature and pressure. This is useful in a variety of scientific applications, such as laboratory astrophysics, accelerating particles to high energies over short distances, or generating light pulses lasting just attoseconds. Read More »

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Vulnerability of the Antarctic Ice Sheet

A team led from Berkeley Lab used a highly-resolved model of the Antarctic Ice Sheet to systematically examine vulnerability to regional collapse of its floating ice shelves and the resulting potential for large contributions to sea level rise (SLR). Read More »