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June 2021

 

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  Happy 20th Anniversary, TACC!  
 

Happy 20th Anniversary, TACC!

On June 1, 2001, the center began its journey to becoming one of the leading academic supercomputing centers in the world. We look forward to formally celebrating with an event later this year. In the meantime, we present highlights and accomplishments from the past two decades.

 
     
 
 
  TACC's Dan Stanzione Selected to Serve on National AI Task Force  

TACC's Dan Stanzione Selected to Serve on National AI Task Force

A new national task force will develop a roadmap for shared computing and data infrastructure to provide AI researchers and students access to compute resources and high-quality data, along with educational tools and user support.

 
 
     
 
 
  Cloud Computing Expands Brain Sciences

Franco Pestilli, Neuroscientist, The University of Texas at Austin.

 

Cloud Computing Expands Brain Sciences

Neuroscientist Franco Pestilli is advocating for new cloud technologies and infrastructure to help researchers process, visualize, and manage data at unprecedented scales. Pestilli is collaborating with TACC to provide resources for reproducibility and science impact to the brain science community.

 
 
     
 
 
  Which Way Does the Solar Wind Blow?

July 12, 2012, coronal mass ejection seen in STEREO B Cor2, and STEREO A Cor2 coronagraphs, respectively. Credit: Talwinder Singh, Mehmet S. Yalim, Nikolai V. Pogorelov, and Nat Gopalswamy.

 

Which Way Does the Solar Wind Blow?

A team of scientists is working to improve space weather forecasting using TACC's Frontera supercomputer. Writing in the Astrophysical Journal, the team described the role of back streaming pickup ions in the acceleration of charged particles, which play an important role in space weather.

 
 
     
 
 
  What Data Scientists Learned by Modeling the Spread of COVID-19

What Data Scientists Learned by Modeling the Spread of COVID-19

Leading epidemiologist and TACC collaborator Lauren Ancel Meyers was featured in a Smithsonian Magazine article about data science and COVID-19. She says: “In the last year, we've probably advanced the art and science and applications of models as much as we did in the preceding decades.”

  Engineers Apply Physics-Informed Machine Learning to Solar Cell Production

Engineers Apply Physics-Informed Machine Learning to Solar Cell Production

To make solar power more affordable, photovoltaics that can more efficiently transform photons of light into useable energy are needed. Researchers are using physics-informed machine learning on TACC's Frontera supercomputer to identify the optimal parameters for manufacturing solar cells.

  Work at TACC!

Work@TACC

Working at TACC means being part of a dynamic and exciting environment, where talented individuals pursue their interests, engage their imaginations, and work at the forefront of computational research. Working with us also means living in Austin, an exceptional city that thrives on innovation, culture, and creativity.

 
 
     
 
 
 

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