Star treatment

July, 2024 Updated: July, 2024

A UT Austin-based fellow blends physics and advanced computing to reveal cosmic rays’ role in stellar events.


New home for science and tech talk

July, 2024 Updated: July, 2024

With the fifth season’s first episode, a DOE CSGF-sponsored podcast launches a website.


Bolt basics

July, 2024 Updated: July, 2024

A Rice University fellow simulates the ins and outs of the familiar fasteners in pursuit of lean machines.


Computation across chemistry

June, 2024 Updated: July, 2024

A fellow uses his deep experience in math and computation to study electric fields in proteins, reactions in batteries and other chemistry problems.


‘Putting it all together’

May, 2024 Updated: July, 2024

A Vanderbilt University fellowship recipient applies math, physics and computation to sort out semiconductor defects.


Misty microphysics

April, 2024 Updated: April, 2024

A fourth-year fellow probes cloud droplets to boost climate predictions.


Genomic field work

March, 2024 Updated: March, 2024

A UC Davis fellow combines computing, the corn genome and growing data to help farmers forecast biofortified crop production.


Tracking space debris

February, 2024 Updated: February, 2024

 A Computational Science Graduate Fellowship recipient monitors threats to satellites in Earth’s ionosphere by modeling plasma waves.


Decisive achievement

October, 2023 Updated: October, 2023

A computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions.


Statistically significant

July, 2023 Updated: August, 2023

A LANL statistician helps cosmologists and epidemiologists grasp their data and answer vital questions.


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: September, 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.