Select Science Success Stories from Mathematical and Physical Sciences

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Slower and Noisier

Unequal neutron-star mergers create unique “Bang” in XSEDE-powered simulations

XSEDE Allocation Facilitates Expanded Solar Wind Predictions

Novel Model Uses Machine Learning to Better Predict Geomagnetic Storms

LED's Bright Early Light

Stampede2, Ranch at TACC through XSEDE help explore new solid-state lighting materials

Star Crash

Artificial Intelligence on XSEDE Systems Is Key to Speeding Simulations of Neutron Star Mergers

Georgia Tech Engineers Simulate Solar Cell Work Using XSEDE-Allocated Supercomputers

Perovskite research shows promise for future inexpensive, efficient solar options

XSEDE Resources Used for High Tech Materials Science Study

Supercomputing helps advance zirconia research for future applications

Supercomputer Simulations Help Advance Electrochemical Reaction Research

Comet, Stampede2 reveal new insights for nickel-embedded graphene

A Galactic Choice

AI Running on XSEDE Systems Surpasses Humans at Classifying Galaxies

Supercomputers Unlock Reproductive Mysteries of Viruses and Life

XSEDE’s Stampede2, Comet supercomputers complete simulations pertinent to coronavirus, DNA replication

Supercomputers Drive Ion Transport Research

XSEDE-allocated Stampede2 supercomputer powers path-sampling molecular simulations

Simulations Reveal Galaxy Clusters Details

Galaxy clusters probed with XSEDE-allocated Stampede2, Comet supercomputers

XSEDE Supercomputers Aid in Novel Simulations of X-Ray Laser Research Laser Pulse Visualizations Powered by SDSC and TACC Supercomputers

While intense magnetic fields are naturally generated by neutron stars, researchers have been striving to achieve similar results in the laboratory for many years.

XSEDE Resources Help Researchers Achieve Crystal Clear Results. Literally.

Supercomputer-Generated Models Shed Light on Color-Changing Material Applications

Supercomputers Help Engineers Discover New Materials for Solar Cells and LEDs

Large-Scale Quantum Calculations are Key to Findings

Illinois researcher uses XSEDE to contribute to black hole image

Charles Gammie, a professor of Physics and Astronomy at the University of Illinois, used supercomputer simulations to help confirm the first-ever captured image of a black hole.

Supercomputers Help Supercharge Protein Assembly

XSEDE allocations on Stampede2 and Comet speed simulation of protein oligomers

XSEDE Supercomputers Provide Insight into Neutron Star Structures and Mergers

Researchers in two separate, recently published studies relied on the power of XSEDE-allocated supercomputers [RHR1] [DLH2] to create detailed simulations of neutron star structures

Testing the Footing

XSEDE Resources Help Univ. of Chicago Team Simulate Cell Movement, Upending Scientific Expectations