cse21

Hierarchical Digital Twins for Simulation, Optimization, and Control

Port-Hamiltonian formulations are like zoom lenses that help researchers tackle difficult problems in systems modeling and control.

Digital Twins: Where Data, Mathematics, Models, and Decisions Collide

Moving to accessible robust digital twin implementations at scale requires strong mathematical foundations.

Removing Kalman from Ensemble Kalman Filtering

On a geophysical scale, the dual burdens of storage and computational cost for Kalman filtering are prohibitive.

Three-Part Panel Series at CSE21 Explores Equity, Diversity, and Inclusion in the Workforce

At CSE21, panelists shared personal experiences and detailed how their institutions are fostering a more diverse culture.

Panel Discussion at CSE21 Offers Advice to Mid-Career Mathematicians

Panelists spoke candidly about their own experiences at the mid-career point in both academia and industry.

The Rational Krylov Toolbox: Nonlinear Rational Approximation

The RKFIT method for nonlinear rational approximation is a core algorithm in the MATLAB Rational Krylov Toolbox.

Looking Ahead to the 2021 SIAM Conference on Computational Science and Engineering

The 2021 SIAM Conference on Computational Science and Engineering will be held March 2021 in Fort Worth, Texas.

CSE21 Panel Explores the Importance of Mentorship

Mentors can help students and early-career mathematicians navigate the complex world of research.

Growing, Inspiring, and Diversifying Computational Science and Engineering through Broader Engagement

The Broader Engagement program at CSE21 fostered a sense of community through mentorship and networking.

CSE21 Session Addresses Early Careers in Academia, National Laboratories, and Industry

A CSE21 panel addressed the advantages and challenges of possible career paths for recent graduates in applied math.

The Rational Krylov Toolbox

Rational Krylov methods have found an increasing number of applications in the field of scientific computing.

Large-scale PDE-constrained Optimization for Ice Sheet Model Initialization

Initialization is a critical step in ice sheet modeling that involves estimating fields like basal friction and...

What Can We Learn from Sensitivity Analysis of One-dimensional Chaos?

Large and abrupt changes in the Earth's climate may be caused by small perturbations to certain control parameters.

Testing Methods for High-performance Computing Applications

A review of several codes shows why unit testing is not always sufficient for high-performance computing...

Computational and Statistical Methods for Improving Urban Mobility with Mobiliti Data

A multi-subsystem approach can help to reduce computational costs when predicting traffic dynamics.

Next-Generation FFT Algorithms in Theory and Practice: Parallel Implementations and Applications

A CSE21 minisymposium on the fast Fourier transform enabled an exchange of ideas on alternative FFT algorithms.

Extreme Event Probability Estimation with Application to Tsunamis

Developing methods to study the distribution tail of extreme events can inform strategies that mitigate their...

Can Machine Learning Help Manage Groundwater in California?

An optimization algorithm automatically finds the best hyperparameters for deep learning models in the context of...

Recent Developments in Kitware’s Pulse Physiology Engine

Whole-body computational physiology models can accurately calculate patient responses for medical training.

Measuring the Effectiveness of COVID-19 Preventative Methods in North Carolina with a Time-Delayed SIR Model

A susceptible-infected-recovered model identified the COVID-19 risks for different metro areas in North Carolina.

The Role of Entrepreneurial-Style Management in Sustainability

Researchers who think like entrepreneurs and pivot their activities as necessary can attain sustainable results.

High-Performance Computing and Artificial Intelligence Approaches to COVID-19 Therapeutics

A novel approach identifies small molecules as potential leads for the development of effective antiviral therapeutics.

Estimating Patient-Specific Cardiac Conductivities: A Challenge Between Models and Data

The integration of models and data is crucial to calibrate in silico models and personalize therapies in cardiology.

Mathematical Models Estimate Cell Membrane Permeability

It is possible to measure cell membrane permeability in a roundabout way via pH control by carbon...

US-RSE: Supporting the Research Software Engineer

The US Research Software Engineer Association began as a community-driven, grassroots organization in 2018.

Coupling Vascular and Inflammatory Dynamics

Mathematical modeling can help clinicians better understand cardiovascular responses to inflammatory events.

Predicting Climate Change with Linear Response Theory

Statistical mechanics can support the provision of flexible and accurate climate change projections.

FAQ on COVID-19 Contingency Plans for CSE21

Learn how to plan for CSE21 with these FAQs!

CSE21 Participation Guide for Presenters and Session Organizers

Learn more about presenting a poster, presenting in a minisymposium or minitutorial, and chairing a minisymposium at...

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