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Kevin Maki

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • physics.flu-dyn4
ORCID 0000-0001-7286-7402

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

physics.flu-dyn2024

CFD-based design optimization of a 5 kW ducted hydrokinetic turbine with practical constraints

Jeongbin Park, Marco Mangano, Sabet Seraj +8

Ducted hydrokinetic turbines enhance energy-harvesting efficiency by better conditioning the flow to the blades, which may yield higher power output than conventional freestream tu…

physics.flu-dyn2023

A Hybrid Data-driven Model of Ship Roll

Kyle E. Marlantes, Kevin J. Maki

A hybrid data-driven method, which combines low-fidelity physics with machine learning (ML) to model nonlinear forces and moments at a reduced computational cost, is applied to pre…

physics.flu-dyn2023

CFD-based Design Optimization of Ducted Hydrokinetic Turbines

Jeongbin Park, Bradford G. Knight, Yingqian Liao +6

Hydrokinetic turbines extract kinetic energy from moving water to generate renewable electricity, thus contributing to sustainable energy production and reducing reliance on fossil…

physics.flu-dyn2023

Implementation of the Critical Wave Groups Method with Computational Fluid Dynamics and Neural Networks

Kevin M. Silva, Kevin J. Maki

Accurate and efficient prediction of extreme ship responses continues to be a challenging problem in ship hydrodynamics. Probabilistic frameworks in conjunction with computationall…

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