A. R. Khalesian

Mechanics of Materials · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. R. Khalesian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Y. Lin
  2. A. Zarei‐Hanzaki
  3. N. Haghdadi

Papers from A. R. Khalesian's perspective

Ordered by how strongly the researchers A. R. Khalesian trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A comparative analysis of training methods for artificial neural network rainfall-runoff models (Applied Soft Computing)
  2. Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel
  3. Constitutive base analysis of a 7075 aluminum alloy during hot compression testing
  4. Artificial neural network modeling to predict the high temperature flow behavior of an AZ81 magnesium alloy (Materials & Design)
  5. The flow behavior modeling of cast A356 aluminum alloy at elevated temperatures considering the effect of strain
  6. Constitutive modeling for elevated temperature flow behavior of 42CrMo steel
  7. A critical review of experimental results and constitutive descriptions for metals and alloys in hot working
  8. The high temperature flow behavior modeling of AZ81 magnesium alloy considering strain effects
  9. Constitutive analysis in hot working
  10. Prediction of 42CrMo steel flow stress at high temperature and strain rate

Their papers