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Bridges-2 Simulations Show Impact of Rocket Exhaust Water on Moon’s Ice Reservoirs

Bridges-2 Simulations Show Impact of Rocket Exhaust Water on Moon’s Ice Reservoirs

by Ken Chiacchia | Jan 22, 2025 | Bridges-2, Science Highlights

A visualization of the Moon’s Clavius crater. Credit: NASA’s Scientific Visualization Studio. Visualizer Ernie Wright (USRA), Technical support Laurence Schuler (ADNET Systems, Inc.), Ian Jones (ADNET Systems, Inc.) Previous Missions Did Not Add...
Anton Studies Reveal Blood Vessel Response to Mechanical Force

Anton Studies Reveal Blood Vessel Response to Mechanical Force

by Ken Chiacchia | Jan 3, 2025 | Anton, Science Highlights

Generated models of the AT1 receptors taken from Supporting Information: Structural Rearrangement of the AT1 Receptor Modulated by Membrane Thickness and Tension, Figure S11.  G Protein-Coupled Receptor Triggered by Mechanical Tension as Well as Chemical Signals,...
PSC Interns to Represent U.S. at International Student Competition

PSC Interns to Represent U.S. at International Student Competition

by Ken Chiacchia | Dec 18, 2024 | Bridges-2, Intern news, News, Press release

Benchmark Beasts Team to Compete at ISC25 Conference in Hamburg, Germany A team of interns from the Pittsburgh Supercomputing Center has been selected to represent the United States next year at an international high performance computing (HPC) competition for...
First Formal Paper Describes Progress of Brain Image Library

First Formal Paper Describes Progress of Brain Image Library

by Ken Chiacchia | Nov 25, 2024 | BIL, Collaborations, Data Handling and Analytics, News, Press release, PSC Staff Publications, Research, Uncategorized

Data visualized using the Napari-bil-data-viewer. Credit: Neuron Tracing: Luo, Qingming. (2022). fMOST_cells_182681. Brain Image Library. https://doi.org/10.35077/web | fMOST Imaging: Dataset Citation: Luo, Qingming. (2024). fMOST_182681. Brain Image Library....
Penn State Team Uses AI to Predict Dozens of Undiscovered Metal Nanoparticles

Penn State Team Uses AI to Predict Dozens of Undiscovered Metal Nanoparticles

by Ken Chiacchia | Nov 25, 2024 | Bridges-2, Science Highlights

Certain numbers of metal atoms can assemble into stable nanoparticles with symmetrical, crystalline shapes. Even more interesting are the irregular or unstable shapes that arise with the numbers in between. Adobe Stock 261656757 New Structures, Simulated and Studied...
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