Decoding disease

October, 2022 Updated: October, 2022

A CSGF fellow doggedly applies computational models to COVID-19 and cancer.


River of data

September, 2022 Updated: September, 2022

Oak Ridge-developed open-source software is helping model watersheds and related climate issues the world over


Fast fade

February, 2022 Updated: February, 2022

A DOE CSGF recipient studies transients, celestial objects that appear suddenly and rapidly fade.


Optimized for discovery

October, 2021 Updated: August, 2022

A computational mathematician finds a national lab ideal for a highly collaborative career.


Crafting community

August, 2021 Updated: August, 2021

The Department of Energy Computational Science Graduate Fellowship celebrates 30 years of cultivating leaders and innovators.


New podcast features labs and fellows

July, 2021 Updated: July, 2021

Series celebrates DOE Computational Science Fellowship’s 30th anniversary.


Luck and learning

July, 2020 Updated: August, 2021

Friends – and computational science fellows – team up with Toyota and Berkeley Lab, combining serendipity and machine learning in a search for sustainable-energy materials.


Pandemic view – plus privacy

April, 2020 Updated: May, 2023

A fellow helps guide an international volunteer effort to develop COVID Watch, a mobile telephone application that prioritizes privacy.


Beyond the tunnel

January, 2020 Updated: October, 2020

Stanford-led team turns to Argonne’s Mira to fine-tune a computational route around aircraft wind-tunnel testing.


Efficiency surge

September, 2019 Updated: October, 2020

A DOE CSGF recipient at the University of Texas took on a hurricane-flooding simulation and blew away limits on its performance.


Robot whisperer

July, 2019 Updated: November, 2021

A DOE computational science fellow combines biology, technology and more to explore behavior, swarms and space.


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.


A fusion fix

December, 2017 Updated: November, 2021

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


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.


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.


Slippery subject

February, 2015 Updated: June, 2015

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.


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.


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.


After the thaw

February, 2014 Updated: February, 2014

Simulations of melting permafrost promise changes in climate modeling.


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.


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.


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.


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.


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.


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.