Lawrence Livermore National Laboratory

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Simulation looped in

December 2022

CogSim, a machine-learning approach modeled on the brain, coordinates simulations, experiments and data-analysis to yield results in fields from fusion energy to COVID-19.

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New podcast features labs and fellows

July 2021

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

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Targeting tumors

April 2021

Cancer biology gets the supercomputing treatment on Oak Ridge’s Summit and Lawrence Livermore’s Sierra.

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Robot whisperer

July 2019

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

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Forged in a Firestorm

April 2019

A Livermore team takes a stab, atom-by-atom, at an 80-year-old controversy over a metal-shaping property called crystal plasticity.

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Scaling the unknown

July 2018

A supercomputing co-design collaboration involving academia, industry and national labs tackles exascale computing’s monumental challenges.

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No passing zone

April 2017

Lawrence Livermore National Laboratory models the blood-brain barrier to find ways for drugs to reach their target.

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Back to the hydrogen future

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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Star power

August 2013

A Lawrence Livermore National Laboratory researcher simulates the physics that fuel the sun, with an eye toward creating a controllable fusion device that can deliver abundant, carbon-free energy.

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A passion for pressure

August 2012

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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The master of Monte Carlo

March 2010

Berni Alder’s Monte Carlo methods have solved problems across the scientific spectrum. Yet the Livermore-based National Medal of Science-recipient still has questions.

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