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Patricio Clark Di Leoni
Researcher at Johns Hopkins University
Publications - 15
Citations - 367
Patricio Clark Di Leoni is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Turbulence & Quantum turbulence. The author has an hindex of 7, co-authored 15 publications receiving 195 citations. Previous affiliations of Patricio Clark Di Leoni include Facultad de Ciencias Exactas y Naturales & University of Rome Tor Vergata.
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Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks
Khemraj Shukla,Patricio Clark Di Leoni,James L. Blackshire,Daniel Sparkman,George Em Karniadakis +4 more
TL;DR: An optimized physics-informed neural network trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate is introduced and shows a promising deep neural network model for ill-posed inverse problems.
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Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
Luca Biferale,Fabio Bonaccorso,Michele Buzzicotti,Patricio Clark Di Leoni,Kristian Gustavsson +4 more
TL;DR: In this paper, an Actor-Critic RL algorithm is used to find quasi-optimal solutions for both time-independent and chaotically evolving flow configurations. But the authors do not consider the case of a vessel with a fixed slip velocity with fixed intensity, but variable direction and navigating in a 2D turbulent sea.
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Inferring flow parameters and turbulent configuration with physics-informed data assimilation and spectral nudging
TL;DR: In this paper, a data assimilation technique called "nudging" is used to control the evolution of turbulence simulations, by studying the response of each simulation to the nudging, information on physical flow parameters is inferred from the data being assimilated.
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Dual cascade and dissipation mechanisms in helical quantum turbulence
TL;DR: In this paper, the authors present numerical simulations of the free decay of a helical quantum turbulent flow using the Gross-Pitaevskii equation at high spatial resolution, which has remarkable similarities with classical flows, which go as far as displaying a dual transfer of incompressible kinetic energy and helicity to small scales.
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Interplay between Alfv\'en and magnetosonic waves in compressible magnetohydrodynamics turbulence
Nahuel Andrés,Patricio Clark Di Leoni,Pablo D. Mininni,Pablo Dmitruk,Fouad Sahraoui,William H. Matthaeus +5 more
TL;DR: In this article, the authors used spatio-temporal spectra to detect magnetosonic and Alfven waves in three-dimensional compressible magnetohydrodynamic turbulence at small Mach numbers.