Brookhaven National Laboratory

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Physics on autopilot

November 2021

Brookhaven National Lab applies AI to make big experiments autonomous.


Turbocharging data

February 2021

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


Molecular landscaping

May 2019

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


Meeting the eye

May 2018

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


Cloud forebear

August 2017

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


Early-universe soup

June 2016

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


A smashing success

December 2014

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


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.


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.


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.


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 […]