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Maximilian F. Eggl

5 papers hereh-index 577 citations10 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn4
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedMixing enhancement in binary fluids using optimised stirring strategies

23 citations · 77 across the 5 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

4 papers · 1 filter

physics.flu-dyn2021★ 23 cited

Mixing by stirring: optimizing shapes and strategies

Maximilian F. Eggl, Peter J. Schmid

The mixing of binary fluids by stirrers is a commonplace procedure in many industrial and natural settings, and mixing efficiency directly translates into more homogeneous final pr…

physics.flu-dyn2020★ 13 cited

A gradient-based framework for maximizing mixing in binary fluids

Maximilian F. Eggl, Peter J. Schmid

A computational framework based on nonlinear direct-adjoint looping is presented for optimizing mixing strategies for binary fluid systems. The governing equations are the nonlinea…

physics.flu-dyn2019★ 23 cited

Mixing enhancement in binary fluids using optimised stirring strategies

Maximilian F. Eggl, Peter J. Schmid

Mixing of binary fluids by moving stirrers is a commonplace process in many industrial applications, where even modest improvements in mixing efficiency could translate into consid…

physics.flu-dyn2019★ 5 cited

Shape optimisation of stirring rods in mixing binary fluids

Maximilian F. Eggl, Peter J. Schmid

Mixing is an omnipresent process in a wide-range of industrial applications, which supports scientific efforts to devise techniques for optimising mixing processes under time and e…

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