Center for Hierarchical and Robust Modeling of Non-Equilibrium Transport (CHaRMNET)

The CHaRMNET Mathematical Multifaceted Integrated Capability Center (MMICC) is motivated by the need to develop accurate long-term modeling of plasma systems for fusion energy and national security that are suitable for optimization and uncertainty quantification at the engineering scale. Led by Michigan State University and Los Alamos National Laboratory, CHaRMNET brings together national leaders from seven universities and four DOE national labs in the mathematical modeling of plasmas. The center seeks to build a first-of-its-kind holistic approach that will exploit structure within models to mitigate the curse of dimensionality and to bridge a wide range of length and time scales in plasma science. The curse of dimensionality is a critical challenge that is pervasive throughout computational science and refers to the observation that the resources needed to solve a problem on a computer scale exponentially with the dimension of the problem. Fundamental plasma models are seven-dimensional and are presently computationally intractable (with existing mathematical methods and computational resources) to drive optimization and uncertainty quantification at the engineering scale of plasma systems.

Highlights

News

Date Message
Jul 13, 2025 CHaRMNET team member Jing-Mei Qiu is invited to give Plenary talk at ICOSAHOM 2025.
Jul 03, 2025 CHaRMNET funded work, titled "Defining Foundation Models for Computational Science: A Call for Clarity and Rigor" was recently featured in a podcast episode.
Mar 27, 2025 CHaRMNET co-director Luis Chacon was named a 2025 SIAM Fellow.
Jan 06, 2025 CHaRMNET team member Yingda Cheng was invited to give a plenary talk at SIAM SEAS 2025.
Jan 06, 2025 CHaRMNET team member Sigal Gottlieb was invited to give a plenary talk at SIAM CSE 2025.
Oct 01, 2024 The CHaRMNET funded work titled "The Weak Form is Stronger Than You Think" was selected on the front page of SIAM NEWS.

 

CHaRMNET partner institutions

 

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