Mathematics and Computer Science

A leader in the computing sciences, the MCS Division provides the numerical tools and technology for solving some of our nation’s most critical scientific problems.

In addition to our world-class research, we develop the software for some of the fastest, most powerful computer systems in the world: systems that are enabling scientists to tackle problems previously considered infeasible.

Research Highlight

Estimating cloud coverage with deep learning methods: Key to solar power production

In a study published in a special issue of the journal Atmosphere, a team of researchers from Argonne National Laboratory presented a novel ground-based approach using machine learning for estimating cloud cover.

Machine Learning, Deep Learning, Artificial Intelligence

Announcement

Taylor selected for DARPA Information Science & Technology study group

The Defense Advanced Research Projects Agency (DARPA) has named Valerie Taylor to the Information Science and Technology (ISAT) Study Group for a three-year term beginning this summer.

Defense Advanced Research Projects Agency, Information Science and Technology Study Group, microelectronics

Awards and Recognition

Postdoctoral appointee wins Young Author Award

Sungho Shin, a postdoctoral appointee in the Mathematics and Computer Science Division at Argonne National Laboratory, has won the Young Author Award at the 11^th International Symposium on Advanced Control of System Process (ADCHEM 2021).

Mathematical Modeling, Infrastructure

Article

Enabling breakthrough simulations of pebble-bed reactors

Argonne researchers have made several code advancements to enable the first-ever thermal-hydraulics simulations for the full core of a pebble-bed reactor.

Mathematical Modeling, Advanced nuclear reactors

11 men and one woman in front of buidling. (Image by Argonne National Laboratory.)

Awards and Recognition

Argonne announces 2022 Maria Goeppert Mayer Fellows, honoring the legacy of the physics Nobel Laureate

Four early-career scientists received Argonne’s 2022 Maria Goeppert Mayer Fellowship for their outstanding potential. Today we reflect on her life and legacy and how it has paved the way for the next generation of scientists.

Accelerator Science and Engineering, Computational Science, Sensors and Detectors

Argonne National Laboratory

Estimating cloud coverage with deep learning methods: Key to solar power production

Taylor selected for DARPA Information Science & Technology study group

Postdoctoral appointee wins Young Author Award

Enabling breakthrough simulations of pebble-bed reactors

Argonne announces 2022 Maria Goeppert Mayer Fellows, honoring the legacy of the physics Nobel Laureate

What an ‘intelligent hurricane’ can uncover

Sneak preview: New platform allows scientists to explore research environments virtually

Tools Reveal Critical Infrastructure Connections, Help Mitigate Disasters

MCS Focus Areas

Advanced Architectures and Systems

Computational Engineering and Methods

Data Management and Storage Systems

Mathematical Modeling and Optimization

Foundations of ML, Data Analysis, and Statistics

Numerical Software and Mathematical Libraries

System Software and Performance Engineering

CONTACT US

Mathematics and Computer Science General Inquiries

Related Organizations

Machine Learning

Exascale Computing in the MCS Division

MACSER: Multifaceted Mathematics for Rare, High-Impact Events in Complex Energy and Environment Systems

MPICH: A High-Performance, Portable Implementation of MPI

OUR PEOPLE

OUR LEADERSHIP

Valerie E. Taylor

Paul Hovland

Stefan M. Wild

Argonne National Laboratory