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Computer Models Show Role of Climate Change in Intense 2020 Hurricane Season

Simulated storm tracks that match observed named storms and ensemble average accumulated rainfall in inches for the 2020 North Atlantic hurricane season (June 1 to November 30) for the (b,d) actual and (a,c) counterfactual ensembles. (Credit: Kevin Reed, Stony Brook University)

Researchers Narrow Down Mass of Sought-After Axion Particle

In their search for the axion particle, scientists focus their simulations on axion strings, topological defects in the soup of the early universe. Here, an axion string is rendered as a dark blue loop emitting axions. (Credit: Malte Buschmann, Princeton University)

New Encoder-Decoder Overcomes Limitations in Scientific Machine Learning

Figure: A general depiction of the encoder-decoder framework with an integrated CRF-RNN layer. The input data is fed into a chosen encoder, which then is upsampled by the U-Net-based decoder. Both the decoder output and the initial image serve as inputs for the CRF-RNN layer, which produces the final pixel-based prediction. (Credit: M. Avaylon, T. Perciano, Z. Bai)

New Book Addresses the Unique Artificial Intelligence Needs of High Energy Physics

A 3d display of a simulated High Luminosity LHC collision event as seen by the ATLAS inner tracking detector (ITk). Image: Atlas Collaboration.

San Francisco and Berkeley Lab Team Up on Pioneering Climate Study

Running simulations at NERSC, the research collaboration found that the effect of climate change on future storms in the San Francisco Bay Area will be significant, leading to more powerful storms unleashing substantially more water. (Credit: Brocken Inaglory via Wikimedia Commons)

Osni Marques Takes on New Role with Exascale Computing Project

Osni Marques has been tapped to lead the Training and Productivity effort in for DOE's Exascale Computing Project. (Credit: Thor Swift, Berkeley Lab)

Computing Sciences Staff to Share Expertise at 2022 ECP Meeting

Exascale Computing Project

Computational Analysis Enables Breakthrough in Biomolecular Dynamics

Computational Analysis Enables Breakthrough in Biomolecular Dynamics

Schematic of angular states and HS-AFM snapshots of protein nanorods in their energetically preferred orientations, corresponding to specific directions of the mineral lattice. Orientational free energy landscape and heat map of relative populations at each angle determined from deep learning analysis of HS-AFM data. (Credit: Stephane A. King, PNNL)

CCSE’s Hannah Klion Selected for 2022 Rising Star

World Quantum Day 2022

Lindsay Bassman Awarded Prestigious Marie Curie Fellowship

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