Argonne National Laboratory

Science Highlights

Date Postedsort ascending
Paper by Graziani et al. selected as editors’ choice in Review of Scientific Instruments

A paper coauthored by Carlo Graziani, a computational scientist in Argonne’s Mathematics and Computer Science Division, has been selected as an “editor’s pick” by Review of Scientific Instruments for December 2017.

January 3, 2018
Silence is not always golden

Rresearchers from Argonne National Laboratory, Pacific Northwest National Laboratory, and two research organizations in Spain joined forces to create an online framework, called MACORD, that uses machine learning algorithms for corruption detection in high-performance computing applications.

January 3, 2018
A big GAIN for small nuclear energy businesses

Researchers Elia Merzari and Aleksander Obabko, as well as other scientists at Argonne, will share their nuclear expertise with two small businesses as a result of voucher awards through the U.S. Department of Energy Gateway for Accelerated Innovation in Nuclear (GAIN) initiative.

January 2, 2018
Balaji gives keynote address on MPI and OpenMP

Pavan Balaji, a computer scientist in Argonne’s Mathematics and Computer Science Division, delivered a keynote address at the13th International Workshop on OpenMP (IWOMP) held at Stony Brook, New York, in September 2017

January 2, 2018
NekCEM CEEDling miniapp released

NekCEM CEEDling is a new NekCEM miniapp for solving the time-domain Maxwell equations for electromagnetic systems.

January 2, 2018
Cataloguing Earth’s microbial diversity

A large-scale study of the gene 16S rRNA in almost 24,000 samples has led to new insights into

January 2, 2018
Practical limits of event-based algorithms for vectorizing Monte Carlo codes

Researchers in Argonne’s Mathematics and Computer Science (MCS) Division have undertaken a theoretical study to quantify practical limits on the efficiency of event-based algorithms.

December 18, 2017
Wozniak coauthors award-winning poster on machine learning and evolutionary computing

Justin Wozniak, a computer scientist in Argonne’s Mathematics and Computer Science Division, was coauthor of a poster that received a Best Poster Award at Mind Bytes, a research computing expo and symposium held in Chicago in May 2017. The award was presented in the area of scalability and performance.

December 18, 2017
Practical limits of event-based algorithms for vectorizing Monte Carlo codes

Researchers in Argonne’s Mathematics and Computer Science (MCS) Division have undertaken a theoretical study to quantify practical limits on the efficiency of event-based algorithms.

December 8, 2017
Disaster = Infrastructure + Hazard

Researchers in the Mathematics and Computer Science Division at Argonne National Laboratory have developed a flexible framework, called the Hazard Impact Framework, or HIF, that assesses the impact of hazards on key infrastructure and describes the initial state of that infrastructure.

December 6, 2017