Brookhaven National Laboratory

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Physics on autopilot

November 2021

Brookhaven National Lab applies AI to make big experiments autonomous.

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Turbocharging data

February 2021

Pairing large-scale experiments with high-performance computing can reduce data processing time from several hours to minutes.

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Molecular landscaping

May 2019

A Brookhaven-Rutgers group uses supercomputing to target the most promising drug candidates from a daunting number of possibilities.

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Meeting the eye

May 2018

A Brookhaven National Laboratory computer scientist is building software to help researchers interact with their data in new ways.

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Cloud forebear

August 2017

A data-management system called PanDA anticipated cloud computing to analyze the universe’s building blocks.

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Early-universe soup

June 2016

ORNL’s Titan supercomputer is helping Brookhaven physicists understand the matter that formed microseconds after the Big Bang.

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A smashing success

December 2014

The world’s particle colliders unite to share and analyze massive volumes of data.

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Quantum gold

September 2013

Driven by what’s missing in experiments, Brookhaven’s Yan Li applies quantum mechanics to compute the physical properties of materials.

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Seeing beyond 3-D

December 2011

High-dimensional visualization techniques at Stony Brook and Brookhaven are helping reveal the interactions that drive climate and other complexities.

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In climate modeling, speed matters

November 2010

A Brookhaven team wants to build the ‘fast physics’ behind clouds, air-suspended particles and precipitation into global climate models.

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Going big to study small

March 2010

It takes a big computer to model very small things. And, like its namesake state, New York Blue is big. Made up of 36,864 processors, the massively parallel IBM Blue Gene/L is housed at DOE’s Brookhaven National Laboratory (BNL) on New York’s Long Island, where, among other things, it’s used to model quantum dots, or […]

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