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.

Feature Story

Leyffer elected Secretary of ICIAM

Computer Science and Engineering, Applied Mathematics and Statistics, Data Science/Data Analysis

Utilizing ALCF supercomputing resources, Argonne researchers are developing the deep learning framework MaLTESE with autonomous — or self-driving — and cloud-connected vehicles in mind. This work could help meet demand to deliver better engine performance, fuel economy and reduced emissions. (Image by Shutterstock /Ju Jae-young.)

Feature Story

AI to help drive engine efficiencies on the road

Researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions.

Computational Science, High Performance Computing, Modeling and Simulation

Awards and Recognition

Argonne National Laboratory

Leyffer elected Secretary of ICIAM

AI to help drive engine efficiencies on the road

Kibaek Kim receives Early Career award

Kate Keahey wins IEEE Women in Services Computing Award

Munson Selected for Strategic Laboratory Leadership Program

DATeS: a new suite for exploring data assimilation methods

Argonne explores how ants, bees, and fruit flies can be the next big buzz in artificial intelligence

New funding awarded to two early career scientists

MCS Areas of Focus

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

Argo: An exascale operating system

OUR PEOPLE

OUR LEADERSHIP

Valerie E. Taylor

Paul Hovland

Stefan M. Wild

Argonne National Laboratory