Luca Biferale

Orcid: 0000-0001-8767-9092

According to our database1, Luca Biferale authored at least 25 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Synthetic Lagrangian turbulence by generative diffusion models.
Nat. Mac. Intell., 2024

2023
Optimal tracking strategies in a turbulent flow.
CoRR, 2023

Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks.
CoRR, 2023

Generative Adversarial Networks to infer velocity components in rotating turbulent flows.
CoRR, 2023

2022
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning.
CoRR, 2022

Data reconstruction of turbulent flows with Gappy POD, Extended POD and Generative Adversarial Networks.
CoRR, 2022

Optimal policies for Bayesian olfactory search in turbulent flows.
CoRR, 2022

Inferring Turbulent Parameters via Machine Learning.
CoRR, 2022

2021
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number.
CoRR, 2021

2020
A lattice Boltzmann study on Brownian diffusion and friction of a particle in a confined multicomponent fluid.
J. Comput. Sci., 2020

Sub-Kolmogorov droplet dynamics in isotropic turbulence using a multiscale lattice Boltzmann scheme.
J. Comput. Sci., 2020

Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database.
CoRR, 2020

TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows.
CoRR, 2020

Controlling Rayleigh-Bénard convection via Reinforcement Learning.
CoRR, 2020

Optimal Control of Point-to-Point Navigation in Turbulent Time Dependent Flows Using Reinforcement Learning.
Proceedings of the AIxIA 2020 - Advances in Artificial Intelligence, 2020

Optimal Control of Point-to-Point Navigation in Turbulent Flows using Reinforcement Learning.
Proceedings of the 7th Italian Workshop on Artificial Intelligence and Robotics co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020

2019
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning.
CoRR, 2019

2017
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning.
CoRR, 2017

Flow Navigation by Smart Microswimmers via Reinforcement Learning.
CoRR, 2017

TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2011
Optimization of Multi-Phase Compressible Lattice Boltzmann Codes on Massively Parallel Multi-Core Systems.
Proceedings of the International Conference on Computational Science, 2011

Lattice Boltzmann method simulations on massively parallel multi-core architectures.
Proceedings of the 2011 Spring Simulation Multi-conference, 2011

A Multi-GPU Implementation of a D2Q37 Lattice Boltzmann Code.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

2010
Lattice Boltzmann fluid-dynamics on the QPACE supercomputer.
Proceedings of the International Conference on Computational Science, 2010

2006
Mesoscopic modelling of local phase transitions and apparent-slip phenomena in microflows.
Math. Comput. Simul., 2006


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