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Osni Marques Takes on New Role with Exascale Computing Project
Osni Marques, a staff scientist in the Applied Math and Computational Research Division, has been tapped to lead the Training & Productivity effort within the Exascale Computing Project. Read More »
Computing Sciences Staff to Share Expertise at 2022 ECP Meeting
The Berkeley Lab Computing Sciences Area will be well-represented at the Exascale Computing Project’s annual meeting, an all-virtual event that will take place May 2-6. Read More »
Computational Analysis Enables Breakthrough in Biomolecular Dynamics
A new study with data analyses from Berkeley Lab computational researchers helps broaden the physical understanding of biomolecular assembly by tracking motion at high resolution and defining a general procedure for using in situ visualization and machine learning to explore such dynamics. This research characterizes the “energy landscape” for protein orientation and shows how that energy landscape controls the rate of motion between different orientations. Read More »
World Quantum Day 2022
On April 14, scientists, engineers, students, and science enthusiasts celebrated World Quantum Day, an international event to spark interest and generate enthusiasm about quantum mechanics. Here's a recap of our social media efforts. Read More »
Advancing New Battery Design with Deep Learning
A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars. Read More »
Hydrogen Fuel Cells: An Environmentally Friendly Alternative
In the quest to develop alternatives to fossil fuels for a variety of transportation methods, environmentally friendly hydrogen fuel cells are finding favor – and funding. Read More »
Berkeley Lab Computing Resources Enable Deeper Understanding of Supernovae Explosions
An international research team recently made history by recording the earliest post-explosion detection of a Type Ia supernova, using cosmological models developed at Berkeley Lab and supercomputing resources at NERSC. Read More »
X-Ray Crystallography Goes Even Tinier
Supported by high-performance computing resources at NERSC, scientists at Berkeley Lab have debuted a new form of X-ray crystallography for small molecules not previously conducive to investigation with crystallography. Read More »
HYPPO: Leveraging Prediction Uncertainty to Optimize Deep Learning Models for Science
With a growing need for optimization tools that can enhance deep learning models to improve predictive capabilities and accelerate time-consuming computer simulations, a Berkeley Lab team developed HYPPO, an open-source software tool for hyperparameter optimization of deep neural networks. Read More »
Climate Simulations Redefine Causes of North American Monsoon
Using NERSC supercomputing resources at Berkeley Lab, researchers have discovered that the North American Monsoon, which produces over half the annual rainfall in northern Mexico and the American Southwest, forms mechanically, not thermally – the only such monsoon in the world. Read More »