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.

  • 2 Similar Profiles
Uncertainty Chemical Compounds
expansion Physics & Astronomy
Chaos theory Engineering & Materials Science
Polynomials Engineering & Materials Science
Markov processes Engineering & Materials Science
chaos Physics & Astronomy
polynomials Physics & Astronomy
Markov chains Physics & Astronomy

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Research Output 2009 2017

  • 9 Article
  • 4 Conference contribution

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: Contribution to journalArticle

Model
Prediction
Molecular simulation
Ranking
Ensemble
expansion
chaos
polynomials
Chaos theory
Polynomials
Uncertainty
estimates
Anthralin
collocation
sensitivity analysis

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: Contribution to journalArticle

chaos
polynomials
expansion
Chaos theory
Polynomials

Random Markov decision processes for sustainable infrastructure systems

Meidani, H. & Ghanem, R. May 4 2015 In : Structure and Infrastructure Engineering. 11, 5, p. 655-667 13 p.

Research output: Contribution to journalArticle

infrastructure
Markov chain
stochasticity
pavement
life cycle