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researcher

Karan Pinto

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn1
  • quant-ph1
same name
  • Karan Pinto — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedNumerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method

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

collaborators

2 papers

physics.flu-dyn2023★ 4 cited

Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method

Egor Kornev, Sergey Dolgov, Karan Pinto +3

The solution of computational fluid dynamics problems is one of the most computationally hard tasks, especially in the case of complex geometries and turbulent flow regimes. We pro…

quant-ph2023★ 2 cited

Optimization of chemical mixers design via tensor trains and quantum computing

Nikita Belokonev, Artem Melnikov, Maninadh Podapaka +3

Chemical component design is a computationally challenging procedure that often entails iterative numerical modeling and authentic experimental testing. We demonstrate a novel opti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.