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.

We conduct world-class research in computer science, computational mathematics and statistics, mathematical modeling, algorithms and software, and computer architectures, enabling scientists to solve complex problems in a wide range of disciplines.

Research Highlight

Argonne’s data compression software honored at global symposium

SQUEEZE (SZ) compresses data while preserving quality. Argonne researchers and SZ developers, Sheng Di and Franck Cappello, share development insights.

July 10, 2025 | Optimization, Computational Science, Data Science/Data Analysis

Research Highlight

Making complex workflow systems easy to use

A new system from Argonne and Berkeley Laboratories helps scientists manage complex, AI-driven workflows—without modifying their code.

June 12, 2025 | Applied Mathematics and Statistics, Computational Science, High Performance Computing

Research Highlight

Certifying the unpredictable: a key step in quantum computing

Argonne researcher Jeffrey Larson helped certify randomness from quantum computing, advancing privacy and fairness in technology.

May 28, 2025 | Optimization, Computational Science, High Performance Computing

NEWS

A group of researchers and industry leaders gather in front of the Aurora supercomputer. They pose as they cut a ribbon to celebrate the machine.

Press Release

Argonne and partners celebrate Aurora supercomputer’s impact on science with AI and exascale power

From mapping the brain to advancing aircraft design, Aurora is already revolutionizing how scientists use AI and simulation to tackle some of the most complex challenges in science and engineering.

Computational Science, High Performance Computing, Modeling and Simulation

Article

Pushing the boundaries: Argonne at ISC 2025

Showcasing research to address the challenges raised by advanced computing.

Mathematical Modeling, Optimization, Computational Science

Awards and Recognition

Argonne’s Sheng Di named IEEE Distinguished Contributor

Argonne researcher Sheng Di earned recognition from IEEE for work in lossy compression methods and fault-tolerant computing.

Optimization, Computational Science, Computer Science and Engineering

A large group of diverse individuals pose for a professional group photo in a modern indoor space with large windows and natural lighting. The participants, dressed in business casual attire, stand closely together, reflecting a collaborative and engaging event atmosphere.

Feature Story

Advancing grid intelligence: Argonne hosts workshop on AI foundation models

AI models are poised to reshape the electric grid, with experts charting a path toward smarter, more resilient energy systems.

Applied Mathematics and Statistics, Computer Science and Engineering, Artificial Intelligence

A view inside Aurora’s racks. The racks are artistically blurred.

Awards and Recognition

Argonne team honored for powering the communication backbone of supercomputing

The MPICH team at Argonne wins the 2024 ACM Software System Award for their work on a high-performance MPI implementation, highlighting their contributions to scalable, portable communication software for parallel computing.

Applied Mathematics and Statistics, Computational Science, Computational Methods

Argonne National Laboratory

Mathematics and Computer Science

Argonne’s data compression software honored at global symposium

Making complex workflow systems easy to use

Certifying the unpredictable: a key step in quantum computing

NEWS

Argonne and partners celebrate Aurora supercomputer’s impact on science with AI and exascale power

Pushing the boundaries: Argonne at ISC 2025

Argonne’s Sheng Di named IEEE Distinguished Contributor

Advancing grid intelligence: Argonne hosts workshop on AI foundation models

Argonne team honored for powering the communication backbone of supercomputing

OUR PEOPLE

OUR LEADERSHIP

Valerie E. Taylor

Sven Leyffer

Robert B. Ross

Paul Hovland

RESEARCH FROM MCS