In the News

Mar 12, 2019

Students team with Argonne scientists and engineers to learn about STEM careers


Argonne National Laboratory

More than 100 eighth-grade girls from area schools attend Argonne's annual Introduce a Girl to Engineering Day (IGED) to learn about math, science and technology. This year’s event was chaired by Liza Booker, a user experience analyst in the...

Mar 9, 2019

Caterpillar-Argonne team to pursue improved diesel engine combustion systems under HPC4Mfg program


Green Car Congress

Caterpillar Inc. and the US Department of Energy’s (DOE) Argonne National Laboratory are teaming up to research heavy-duty diesel engines. This project is funded by the Department’s Advanced Manufacturing Office (AMO) and Vehicle Technologies Office (VTO) and is one of seven public-private...

Mar 8, 2019

Machine Learning Makes Water Smarter


Water & Wastes Digest

Machine learning—a collection of algorithms and software that enables computers to learn from data—can help us overcome these challenges. In industries rife with data, such as water and wastewater management, potential applications for machine learning can be wide-ranging. At the U.S. Department...

Mar 8, 2019

From Atoms to Astronomy, HPC Is Redefining Scientific Research


SC19

From the wonders of the universe to the intricacies of the atom, scientists use sophisticated simulations to further their research. And, not surprisingly, HPC is playing a key role – as it is, increasingly, in every scientific field. In an interview for SC19, Argonne's Katrin Heitmann discusses...

Mar 7, 2019

Software Innovation Boost Efficiency for World’s Fastest Supercomputers


R&D Magazine

Darshan is an Argonne-developed software tool designed to allow researchers to measure and assess the performance of their supercomputers’ input/output (I/O) processes, providing a clear picture of their machines’ behavior that can help diagnose potential problems and determine best uses for HPC...

Mar 6, 2019

With supercomputers, scientists find promising new materials for solar cells


PV Buzz

Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory and the University of Cambridge used the ALCF's Theta supercomputer to carry out a novel “design to device” approach to identify promising materials for dye-sensitized solar cells (DSSCs).

Mar 6, 2019

Supercomputer scientists dye-ing to test new cell materials


pv magazine

Scientists at the Argonne National Laboratory in Chicago, USA, have used machine learning techniques to identify optimal materials for dye sensitized solar cells. Beginning with a list of more than 10,000 candidates, the technique identified five materials for synthesis and testing that best fit...

Mar 6, 2019

Scientists use machine learning to identify high-performing solar materials


Phys.org

Finding the best light-harvesting chemicals for use in solar cells can feel like searching for a needle in a haystack. Over the years, researchers have developed and tested thousands of different dyes and pigments to see how they absorb sunlight and convert it to electricity. Sorting through all...

Mar 5, 2019

Scientists hunt for new light-harvesting chemical for more effective solar panels


UK Research and Innovation

An international team of scientists is hunting for new, organic light-harvesting chemicals to make solar panels that are both more effective at creating electricity and are environmentally friendly. The team identifited five high-performing dye candidates by harnessing the power of ALCF...

Feb 28, 2019

Why it takes a supercomputer to map a mouse brain


The Verge

Inside a 25,000 square foot room within Argonne National Laboratory one of the most formidable supercomputers in the world — Theta — is applying its incredible computing power to the largest batch of data ever recorded or analyzed. It’s information that researchers hope might one day contribute...

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