Skip to main content

Computational Engineering and Methods

Accelerating computational science and engineering

Argonne’s Mathematics and Computer Science Division is developing scalable numerical methods encapsulated in robust software that enables scientific simulation on extreme-scale computers. Our research integrates work with applied mathematicians, computer scientists, and domain scientists both across the laboratory and throughout the world, developing the tools essential for new scientific discoveries and solutions to complex, real-world problems. Our strengths include computational fluid dynamics, higher-order methods, meshing techniques, and multiphysics software. Of particular note is our work in the U.S. Department of Energy’s SciDAC (Scientific Discovery through Advanced Computing) program and the Exascale Computing Program, through which we exploit high-performance computing and beyond-Moore computing, applying the most advanced computer science and mathematics techniques to DOE’s most critical applications in diverse areas such as astrophysics, Earth systems, energy systems, engineering diagnostics, materials science, and nuclear reactor simulation.

 

CONTACT US

Mathematics and Computer Science General Inquiries

info@mcs.anl.gov

Related Organizations

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

Quantum Computing

Offering the opportunity to revolutionize scientific computing

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

Cancer Biomedical Informatics Grid

Collaborative information network to accelerate discovery of new approaches for the detection, diagnosis, treatment, and prevention of cancer

Related Project

Energy Exascale Earth System Model

Developing a computationally advanced coupled climate-energy model to investigate the challenges posed by the interactions of weather-climate scale variability with energy and related sectors

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

HEP Data Analytics on HPC

Developing and deploying new tools and algorithms to enable HPC facilities to meet new data analysis demands

Related Project

Multiscale Coupled Urban Systems

Multiscale Coupled Urban Systems will create an integrated modeling framework comprising data curation, analytics, modeling and simulation components that will equip city designers, planners and managers to scientifically develop and evaluate solutions to

Related Project

OpenMC

Enabling coupled Monte Carlo neutron transport – computational fluid dynamics at exascale to study reactor designs