Higher learning

August, 2018 Updated: October, 2020

Computational Science Graduate Fellow Alnur Ali rides an early career at Microsoft to the upper ranks of machine-learning research.

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A fusion fix

December, 2017 Updated: November, 2021

Graduate fellow leads software project to head off damaging fusion energy disruptions.

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Virtual vessels

September, 2017 Updated: October, 2020

The circulatory simulations a Computational Science Graduate Fellowship alumna now at Duke University could help physicians choose the best treatments before operating.

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Ditching intuition

May, 2017 Updated: October, 2020

Replacing lab tedium for efficiency, SLAC-Stanford team taps machine learning to screen for chemicals with promising properties.

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Slippery subject

February, 2015 Updated: September, 2023

University of Texas researchers are out to improve computational models of ice sheets by refining estimates of basal friction: how much rocks and earth slow the sheet’s movement.

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Universe in a day

November, 2014 Updated: May, 2023

A team working on the Titan supercomputer simulates the biggest thing of all in a flash, then shares.

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Back to the hydrogen future

October, 2014 Updated: October, 2014

At Lawrence Livermore National Laboratory, Computational Science Graduate Fellowship alum Brandon Wood applies the world’s most sophisticated molecular dynamics codes on America’s leading supercomputers to model hydrogen’s reaction kinetics.

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After the thaw

February, 2014 Updated: February, 2014

Simulations of melting permafrost promise changes in climate modeling.

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Foiling airflow error

June, 2013 Updated: June, 2013

Portraying airflow over wings and other fluid movement is tricky. A Department of Energy award for early-career researchers is helping a former DOE CSGF fellow devise mathematical methods to decrease the error rate in fluid modeling.

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Cosmic questions

March, 2013 Updated: March, 2013

MIT’s Dragos Velicanu is helping sort through data from the Large Hadron Collider for clues to the mysteries surrounding the strong force and the early universe.

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A passion for pressure

August, 2012 Updated: October, 2020

Plasmas are the purview of Livermore scientist and Computational Science Graduate Fellowship alumnus Jeffrey Hittinger. He works both sides of the fusion street – inertial confinement and magnetic confinement – while simulating aspects of these tremendously hot, fast-moving particle clouds.

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Prime-time punch

March, 2012 Updated: October, 2020

The mantis shrimp packs one of the strongest punches on Earth. Computational Science Graduate Fellow Michael Rosario is investigating the physics, design and material properties behind the crustacean’s prey-crunching wallop. His research has landed him on the National Geographic Wild channel.

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Designer yeast

September, 2011 Updated: October, 2020

A Johns Hopkins University team has built a yeast chromosome from scratch, they report today in the journal Nature. Sarah Richardson used what she learned as a Computational Science Graduate Fellow to help design and monitor the chromosome’s construction.

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Pounding out atomic nuclei

March, 2011 Updated: October, 2020

Thousands of tiny systems called atomic nuclei – specific combinations of protons and neutrons – prove extremely difficult to study but have big implications for nuclear stockpile stewardship. To describe all of the nuclei and the reactions between them, a nationwide collaboration is devising powerful algorithms that run on high-performance computers.

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Pressure and flow

November, 2010 Updated: October, 2020

The first large-scale simulation of blood flow in coronary arteries enlists a realistic description of the vessels’ geometries. Researchers reported on the simulation today at the SC10 supercomputing conference in New Orleans.

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From Cuba to Cambridge by way of Miami

June, 2010 Updated: November, 2011

The former Computational Science Graduate Fellowship recipient escaped the communist regime with his family, then found a love of physics.

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Forceful thinking

June, 2010 Updated: May, 2019

A quantum curiosity called the Casimir force gums up micro- and nanomachines. Work at MIT led by a newly minted alumnus of the DOE Computational Science Graduate Fellowship suggests uses for the force – and ways around it.

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