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researcher

M. Aminpour

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cond-mat.soft1

identity via Semantic Scholar / OpenAlex

most citedSlope stability predictions on spatially variable random fields using machine learning surrogate models

4 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 2 cited

Highly efficient reliability analysis of anisotropic heterogeneous slopes: Machine Learning aided Monte Carlo method

Mohammad Aminpour, Reza Alaie, Navid Kardani +2

Machine Learning (ML) algorithms are increasingly used as surrogate models to increase the efficiency of stochastic reliability analyses in geotechnical engineering. This paper pre…

cs.LG2022★ 4 cited

Slope stability predictions on spatially variable random fields using machine learning surrogate models

Mohammad Aminpour, Reza Alaie, Navid Kardani +2

Random field Monte Carlo (MC) reliability analysis is a robust stochastic method to determine the probability of failure. This method, however, requires a large number of numerical…

cond-mat.soft2021

Slip flow regimes in nanofluidics: a universal superexponential model

Mohammad Aminpour, Sergio Andres Galindo Torres, Alexander Scheuermann +1

Many experiments have shown large flow enhancement ratios (up to 10^5) in carbon nanotubes (CNT) with diameters larger than 5nm. However, molecular dynamics simulations have never…

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