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.

Article

Making software ecosystems first-class citizens

The focus area leads of the U.S. Department of Energy Exascale Computing Project (ECP) have written an article in the online journal Nature Computational Science in which they advocate a new approach to software development in emerging exascale systems.

Exascale Computing

Scientists are using Theta, a high performance computing system at the Argonne Leadership Computing Facility, to help them analyze COVID-19 proteins. (Image by Argonne National Laboratory.)

Press Release

The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19

A novel pipeline of AI and simulation tools may make the process of screening drug candidates for COVID-19 50,000 times faster.

Biophysics, Molecular Biology, Biomedical Computing

Research Highlight

Argonne research featured by Exascale Computing Project

Three papers coauthored by researchers in the Mathematics and Computer Science Division at Argonne National Laboratory were highlighted recently on the U.S. Department of Energy Exascale Computing Project website.

Exascale Computing

Attendees at ATPESC, an annual training program that provides specialized, in-depth training to doctoral students, postdocs and computational scientists on today’s most powerful supercomputers. (Image taken in 2019 by Argonne National Laboratory.)

Announcement

Argonne Training Program on Extreme-Scale Computing seeks applications for 2021

Apply by March 1 for an opportunity to learn the tools and techniques needed to carry out research on the world’s most powerful supercomputers.

High Performance Computing, Modeling and Simulation, Computer Science and Engineering

Announcement

Argonne research paper chosen as Editors’ Pick for Physics of Fluids journal

Researchers from Argonne National Laboratory have received an Editors’ Pick award for their paper “Non-auto-regressive time-series methods for stable parametric reduced-order models.”

Argonne National Laboratory

Making software ecosystems first-class citizens

The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19

Argonne research featured by Exascale Computing Project

Argonne Training Program on Extreme-Scale Computing seeks applications for 2021

Argonne research paper chosen as Editors’ Pick for Physics of Fluids journal

Tools Reveal Critical Infrastructure Connections, Help Mitigate Disasters

Last Journey: Mira supercomputer simulates the unknown of the universe

Advanced tools reveal critical infrastructure connections to 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