- Students learn about uncertainty quantification at SAMSI workshop🔍
- Practicum Abstracts🔍
- Uncertainty Quantification and Visual Computing🔍
- Uncertainty Quantification🔍
- Uncertainty Quantification and Complex Systems🔍
- CaSE researchers establish practices for uncertainty quantification ...🔍
- Uncertainty Quantification and Probabilistic Forecasting🔍
- Enhancing multiscale computing with sensitivity and uncertainty ...🔍
Uncertainty Quantification – Center for Computing Research
Students learn about uncertainty quantification at SAMSI workshop
... facility in Research Triangle Park and at NC State. The workshop was an introduction to the field of uncertainty quantification (UQ) to ...
Practicum Abstracts | DOE CSGF - Krell Institute
... Year: 2024 Practicum Supervisor: Mark Taylor, Chief Computational Scientist, Center for Computing Research, Sandia National Laboratories, New Mexico.
Overview - Center for Compressible Multiphase Turbulence
Discipline-focused research needed to further predictive science and enabled by effective Exascale computing ; and ... uncertainty quantification of rare but ...
Uncertainty Quantification and Visual Computing
Institute of Applied Analysis and Numerical Simulation · University of ... Research Group Computational Methods for Uncertainty Quantification · Research ...
Uncertainty Quantification - SciDAC-5 FASTMath Institute
FASTMath researchers are involved in the development of probabilistic methods and software for efficient uncertainty quantification (UQ) in computational models ...
Uncertainty Quantification and Complex Systems
The behavior of such problems can be described using mathematical modeling and computer simulations. UQ methods aim to predict system responses against ...
CaSE researchers establish practices for uncertainty quantification ...
... Research Infrastructure Computational Modeling and Simulation Center (SimCenter). The renewal award provides $12.75M over the next four ...
Uncertainty Quantification and Probabilistic Forecasting
uncertainty quantification is central to cost ... This material is based upon work supported by the NSF National Center for Atmospheric Research ...
Enhancing multiscale computing with sensitivity and uncertainty ...
Enhancing multiscale computing with sensitivity and ... Alfons Hoekstra from the UvA and supported by the Netherlands eScience Center, the aim is to develop ...
Center, aided by computer simulations of the storm, ... Transition research in uncertainty quantification of computational systems from the analysis of.
Uncertainty Quantification for Computer Models With Spatial Output ...
Each modeling center submits integrations of their climate model for four different forcing scenarios (known as Representative Concentration Pathways) to each ...
Modern Monte Carlo methods for efficient uncertainty quantification ...
All of these three modern MC methods achieve a significant improvement of computational efficiency for probabilistic UQ, particularly ...
Uncertainty Quantification for Forecasting COVID-19 Dynamics
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as ...
Uncertainty Quantification in Machine Learning Models Via ...
This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve ...
Advances in uncertainty quantification methods - KAUST
The conference was organized by the University's SRI Center for Uncertainty Quantification in Computational ... research and network with prominent ...
Our Center is supported by the the Advanced Scientific Computing Research program of the U.S. Department of Energy. Our Team. Missing picture. Andrew Christlieb ...
Tensorization and Uncertainty Quantification in Deep Learning
Science and Technology Driven Policy and Innovation Research Center (STeDI-RC) ... As a senior key expert of robust AI at Siemens, he conducts research in the ...
Uncertainty ... - HLRS High Performance Computing Center Stuttgart
In order to quantify the uncertainty due to stochastic input in computer fluid dynamic simulations, researchers from the Institute of Aerodynamics and Gas ...
Uncertainty Quantification – Computational Electromagnetics (CEM)
The research focuses on the modeling of uncertainties in the context of partial differential equations, efficient methods for the quantification and (robust) ...
Uncertainty Quantification - cse-lab
Address. Gordon McKay Professor of Computing in Science and Engineering Faculty Director, Institute for Applied Computational Science. 323 Pierce Hall, 29 ...