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researcher

A. Scillitoe

7 papers hereh-index 8235 citations21 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CE3
  • math.NA2
  • physics.flu-dyn2

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedUncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests

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

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CE2020

Blade Envelopes Part II: Multiple Objectives and Inverse Design

Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +3

Blade envelopes offer a set of data-driven tolerance guidelines for manufactured components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for the form…

cs.CE2020

Blade Envelopes Part I: Concept and Methodology

Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +2

Blades manufactured through flank and point milling will likely exhibit geometric variability. Gauging the aerodynamic repercussions of such variability, prior to manufacturing a c…

physics.flu-dyn2020★ 18 cited

Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests

Ashley Scillitoe, Pranay Seshadri, Mark Girolami

Data-driven turbulence modelling approaches are gaining increasing interest from the CFD community. However, the introduction of a machine learning (ML) model introduces a new sour…

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