◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Nima H. Siboni

3 papers here

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

author position
  • first author1
  • middle author2

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

fields
  • cond-mat.mtrl-sci1
  • cond-mat.soft1
  • physics.flu-dyn1
ORCID 0000-0002-0305-5870

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedAn artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials

7 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2022★ 7 cited

An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials

Mohammad S. Khorrami, Jaber R. Mianroodi, Nima H. Siboni +4

The purpose of this work is the development of an artificial neural network (ANN) for surrogate modeling of the mechanical response of viscoplastic grain microstructures. To this e…

cond-mat.soft2019

Steady-state rheology and structure of soft hybrid mixtures of liquid crystals and magnetic nanoparticles

Gaurav P. Shrivastav, Nima H. Siboni, Sabine H. L. Klapp

Using non-equilibrium molecular dynamics simulations, we study the rheology of a model hybrid mixture of liquid crystals (LCs) and dipolar soft spheres (DSS) representing magnetic…

physics.flu-dyn2014★ 3 cited

Chapman-Enskog Analysis of Finite Volume Lattice Boltzmann Schemes

Nima H. Siboni, Dierk Raabe, Fathollah Varnik

In this paper, we provide a systematic analysis of some finite volume lattice Boltzmann schemes in two dimensions. A complete iteration cycle in time evolution of discretized distr…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.