Research Output per year

## Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

- 10 Similar Profiles

Uncertainty
Engineering & Materials Science

Polynomials
Engineering & Materials Science

Structural dynamics
Engineering & Materials Science

Decomposition
Engineering & Materials Science

chaos
Physics & Astronomy

polynomials
Physics & Astronomy

expansion
Physics & Astronomy

Materials properties
Engineering & Materials Science

##
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.

## Research Output 2009 2018

## Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data

Wu, X., Kozlowski, T. & Meidani, H. Jan 1 2018 In : Reliability Engineering and System Safety. 169, p. 422-436 15 p.Research output: Research - peer-review › Article

Nuclear fuels

Time series

Gases

Uncertainty

Nuclear reactors

## Calibration and ranking of coarse-grained models in molecular simulations using bayesian formalism

Meidani, H., Hooper, J. B., Bedrov, D. & Kirby, R. M. 2017 In : International Journal for Uncertainty Quantification. 7, 2, p. 99-115 17 p.Research output: Research - peer-review › Article

Molecular Simulation

Ranking

Calibration

Model

Prediction

## Divide and conquer: An incremental sparsity promoting compressive sampling approach for polynomial chaos expansions

Alemazkoor, N. & Meidani, H. May 1 2017 In : Computer Methods in Applied Mechanics and Engineering. 318, p. 937-956 20 p.Research output: Research - peer-review › Article

chaos

polynomials

sampling

expansion

Polynomials

## Inverse uncertainty quantification of TRACE physical model parameters using sparse gird stochastic collocation surrogate model

Wu, X., Mui, T., Hu, G., Meidani, H. & Kozlowski, T. Aug 1 2017 In : Nuclear Engineering and Design. 319, p. 185-200 16 p.Research output: Research - peer-review › Article

collocation

parameter

Uncertainty

estimates

code

## Gradient based design optimization under uncertainty via stochastic expansion methods

Keshavarzzadeh, V., Meidani, H. & Tortorelli, D. A. Jul 1 2016 In : Computer Methods in Applied Mechanics and Engineering. 306, p. 47-76 30 p.Research output: Research - peer-review › Article

design optimization

chaos

polynomials

gradients

expansion