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HYPPO: Leveraging Prediction Uncertainty to Optimize Deep Learning Models for Science

Climate Simulations Redefine Causes of North American Monsoon

The North American Monsoon pattern can cause heavy rainfall in Mexico and the American Southwest in the late summer. New research using a more granular model shows that this monsoon is mechanically, rather than thermally, forced.

Hopper Fellow Brings ML, Math, and Algorithmic Expertise to NERSC

Richard Barnes

Open Sourced Control Hardware for Quantum Computers

Cutting Through the Noise

The researchers demonstrated this new error mitigation approach by simulating the evolution of a chain of six spins (top). Simulating for the longest time requires a circuit that contains 210 CNOT gates. The comparison of the real data from the quantum computer and the mitigated data shows how close the group’s approach comes to the exact results.

AMCRD’s Sherry Li Part of Team Honored by SIAM for Best Paper

Sherry Li stands with arms crossed in front of a whiteboard filled with complex mathematical equations, diagrams, and notes. The whiteboard includes various symbols, graphs, and annotations related to statistical models, including a hidden Markov model. The individual is dressed in a dark, long-sleeved top, and the background is a classroom or office setting, suggesting an academic or research environment.

Postdocs Present Wide-Ranging Research at 2022 Symposium

NERSC Resources Help Achieve Milestone in Neutrino Research

Experimental hall of the KATRIN experiment showing the main spectrometer from the front. The outside rings are air-coil magnets used to compensate for the earth's magnetic field. (Credit: KIT/Markus Breig)

ESnet Plays Key Role in Groundbreaking ARIES 'Digital Twin' Demonstration

Collaboration Charts New Course for Future of Field Research Data

The East River watershed has become a living field laboratory for scientists to better understand how vital mountainous watersheds throughout the world are responding to environmental change. (Credit: Roy Kaltschmidt, Berkeley Lab)

SIMCoV Models Cell-by-Cell Spread of Respiratory Infections

A key question in SARS-CoV-2 infection is why viral loads and patient outcomes are so different across individuals. Because it’s difficult to see how the virus spreads in the lungs of infected people, researchers developed SIMCoV, a computational model that simulates hundreds of millions of cells, including lung cells and immune cells. (Credit: Steve Hofmeyr/Berkeley Lab)

Berkeley Lab’s FasTensor Provides Pain-Free Big Data Analysis

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