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D. Tunuguntla

4 papers hereh-index 123.7k citations39 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft3
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

activity
20152025
most citedShape matters: Competing mechanisms of particle shape segregation

10 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cond-mat.softShow all

3 papers · 1 filter

cond-mat.soft2025

Towards scientific machine learning for granular material simulations -- challenges and opportunities

Marc Fransen, Andreas Fürst, Deepak Tunuguntla +21

Micro-scale mechanisms, such as inter-particle and particle-fluid interactions, govern the behaviour of granular systems. While particle-scale simulations provide detailed insights…

cond-mat.soft2022★ 10 cited

Shape matters: Competing mechanisms of particle shape segregation

D. Hernández-Delfin, D. R. Tunuguntla, T. Weinhart +2

It is well-known that granular mixtures that differ in size or shape segregate when sheared. In the past, two mechanisms have been proposed to describe this effect, and it is uncle…

cond-mat.soft2019

Surface flow profiles for dry and wet granular materials by Particle Tracking Velocimetry; the effect of wall roughness

Sudeshna Roy, Bert J. Scheper, Harmen Polman +4

Two-dimensional Particle Tracking Velocimetry (PTV) is a promising technique to study the behaviour of granular flows. The aim is to experimentally determine the free surface width…

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