Multi-element Polynomial Chaos

Multi-Element Polynomial Chaos is a stochastic spectral method that decomposes the probability space into multiple elements to locally approximate random variables using polynomial chaos expansions, thereby enhancing accuracy in capturing non-Gaussian and discontinuous stochastic responses.

19

Publications

1.6K

Citations

44

Authors

27

Institutions

Publications per year

2017–2026

5

Variants

Mepc

Authors

44

  1. GE
    George Em Karniadakis

    Brown University, United States

    7 publications · 1.3K citations

    7

    h-index

  2. XW
    Xiaoliang Wan

    Louisiana State University, United States

    5 publications · 1.2K citations

    5

    h-index

  3. SB
    Sébastien Berger

    Université de Tours, France

    3 publications · 44 citations

    3

    h-index

  4. ÉA
    Évelyne Aubry

    Université de Haute-Alsace, France

    2 publications · 29 citations

    2

    h-index

  5. VH
    Vincent Heuveline

    Heidelberg University, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 44

Venues

  1. Journal of Guidance Control and Dynamics

    2 publications · 98 citations

    2

    h-index

  2. SIAM Journal on Scientific Computing

    2 publications · 537 citations

    2

    h-index

  3. Journal of Fluid Mechanics

    2 publications · 91 citations

    2

    h-index

  4. Journal of vibration and acoustics

    1 publications · 18 citations

    1

    h-index

  5. Journal of Heat Transfer

    1 publications · 22 citations

    1

    h-index

1–5