Uncertainty Quantification – Center for Computing Research

Uncertainty Quantification – Center for Computing Research (CCR)

Uncertainty Quantification (UQ) is a growing area of importance for quantifying confidence in computational engineering simulations.

Optimization & Uncertainty Quantification

We also host students and faculty from premier universities for extended visits through the Computer Science Research Institute. People.

Uncertainty Quantification (UQ) | Research

This material is based upon work supported by the U.S. National Science Foundation under the NSF Center for Computer Assisted Synthesis (C-CAS), grant number ...

Uncertainty Quantification | Research Categories - MIT CCSE

Characterizing uncertainty in computational predictions is essential to applications ranging from engineering design to climate modeling.

MIT Uncertainty Quantification Group: Home

... Center, both within the MIT Schwarzman College of Computing. Research Overview. Our research focuses on advancing foundational computational methodologies ...

Uncertainty quantification | The Alan Turing Institute

How do we reliably account for uncertainties when mathematical and computational models are used to describe physical and social processes? · Status · Research ...

Multi-fidelity machine-learning with uncertainty quantification and ...

Computational Multiscale, Center for Computing Research, Sandia National Laboratories, Albuquerque, New Mexico 87123, USA. PMID: 32828092; DOI: ...

CSQI - Scientific Computing and Uncertainty Quantification - EPFL

In particular, the research is oriented to the development of advanced techniques for the treatment and quantification of uncertainties which unavoidably affect ...

KIT - About us - Junior Research Group Uncertainty Quantification

Scientific Computing Center (SCC). skip navigation; Home · Sitemap · Legals ... quantification of uncertainties in complex computational models. Our research ...

Uncertainty Quantification and AI for Complex Systems - IMSI institute

The field of Uncertainty Quantification (UQ) has broad applications in science and engineering and provides a computational framework for quantifying input ...

DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH ...

Optimization and Uncertainty Quantification, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87123, USA. Dongbin Xiu Department ...

Uncertainty Quantification | Data Science Institute

LLNL statisticians, computational modelers, and materials scientists have been developing a statistical framework for researchers to better assess the ...

Uncertainty Quantification for High-Dimensional Problems

... Scientific Computing group will organize a semester programme on uncertainty ... research institute for mathematics and computer science in the Netherlands.

Archive Files - International Journal for Uncertainty Quantification

Laura P. Swiler Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, P.O. Box 5800, ...

Computational Reliability Analysis & Uncertainty Quantification | SwRI

Uncertainty quantification for complex systems - Isaac Newton Institute

UQ is a broad phrase used to describe methodologies for taking account of uncertainties when mathematical and computer models are used to describe real-world ...

PNNL: Taming Uncertainty in Climate Prediction

... uncertainty quantification," or UQ, that allowed them to better simulate ... Research Scientific Computing Center at Lawrence Berkeley National Laboratory.

Optimization, Inversion and UQ - a cross-cutting research area

... computational modeling to grand challenge problems that require estimation, design and control ... Uncertainty quantification (UQ) involves the quantitative ...

Data Mining and Uncertainty Quantification (DMQ) - HITS

In this group we make use of stochastic mathematical models, high-performance computing, and hardware-aware computing to quantify the impact of uncertainties ...

Uncertainty Quantification in Scientific Computing - SpringerLink

Applied and Computational Mathematics Division, National Institute of Standards and Technology, Gaithersburg, USA. Ronald F. Boisvert. Bibliographic ...