Mathematics and Computer Science Division

Mathematics and Computer Science

MCS

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.

Announcement

Catlett and Kasthuri to participate in Night of Ideas: Alive! event

Computer Science and Engineering, Computer Science

Announcement

Marin named to editorial board of SIAM News

Applied Mathematics and Statistics, applied mathematics and statistics

Fig. 1 Nek5000 flow and temperature profiles in a pebble bed reactor

Article

Argonne researchers to help expedite licensing of U.S. nuclear technologies

Nuclear Reactors, Modeling and Simulation, Advanced nuclear reactors

Awards and Recognition

Catlett gives Distinguished Lecture on smart cities

Edge Computing/Internet of Things

Awards and Recognition

Researchers win Best Paper Award at visualization conference

Visualization, In situ visualization

Press Release

Using artificial intelligence to detect blobs

Fusion Simulation; Reactor

In the News

Postdocs Focus on Networking, Careers at the 2019 Postdoctoral Research and Career Symposium

Postdoctoral Research and Career Symposium

Article

Argonne hosts workshop on cosmology, statistics and machine learning

Computational Cosmology, Machine Learning, Cosmology and Astrophysics

cosmologyInference_examples

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

Download Org Chart

CONTACT US

Mathematics and Computer Science General Inquiries

info@mcs.anl.gov

Related Organizations

Related Project

Machine Learning

Exploring machine learning projects, ranging from algorithm and software development to applications in science and the environment, to facilitate discovery of new scientific insights

Related Project

Exascale Computing in the MCS Division

Accelerating delivery of an exascale computing ecosystem to provide breakthrough modeling and simulation to address the nation’s most critical challenges

Related Project

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

Quantifying the occurrence and features of rare, high-impact events and designing energy systems to withstand them

Related Project

MPICH: A High-Performance, Portable Implementation of MPI

Vehicle for MPI implementation research and improved parallel programming environments

OUR PEOPLE

With an unwavering focus on our mission, our researchers take an interdisciplinary approach to research, advancing their fields of study and generating new knowledge for the benefit of future generations.

MCS Staff Directory

OUR LEADERSHIP

Valerie E. Taylor

Division Director/ Argonne Distinguished Fellow

Paul Hovland

Deputy Division Director

Stefan M. Wild

Deputy Division Director