Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks

Optimizing airborne wind energy with reinforcement learning

(2023) N. Orzan et al.   EUROPEAN PHYSICAL JOURNAL E

Steering undulatory micro-swimmers in a fluid flow through reinforcement learning

(2023) Zakarya El Khiyati et al.   EUROPEAN PHYSICAL JOURNAL E

Machine learning for optimal flow control in an axial compressor

(2023) M. A. Elhawary et al.   EUROPEAN PHYSICAL JOURNAL E

Generative adversarial networks to infer velocity components in rotating turbulent flows

(2023) Tianyi Li et al.   EUROPEAN PHYSICAL JOURNAL E

Taming Lagrangian chaos with multi-objective reinforcement learning

(2023) Chiara Calascibetta et al.   EUROPEAN PHYSICAL JOURNAL E

Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

(2023) Mihir Durve et al.   EUROPEAN PHYSICAL JOURNAL E

Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed Neural Networks

(2023) Patricio Clark Di Leoni et al.   EUROPEAN PHYSICAL JOURNAL E

Optimal navigation of a smart active particle: directional and distance sensing

(2023) Mischa Putzke et al.   EUROPEAN PHYSICAL JOURNAL E

Toward learning Lattice Boltzmann collision operators

(2023) Alessandro Corbetta et al.   EUROPEAN PHYSICAL JOURNAL E

Inference of relative permeability curves in reservoir rocks with ensemble Kalman method

(2023) Xu-Hui Zhou et al.   EUROPEAN PHYSICAL JOURNAL E

Curriculum learning for data-driven modeling of dynamical systems

(2023) Michele Alessandro Bucci et al.   EUROPEAN PHYSICAL JOURNAL E

Assimilation of statistical data into turbulent flows using physics-informed neural networks

(2023) Sofía Angriman et al.   EUROPEAN PHYSICAL JOURNAL E

Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark

(2023) Aurore Loisy et al.   EUROPEAN PHYSICAL JOURNAL E

Deep reinforcement learning for turbulent drag reduction in channel flows

(2023) Luca Guastoni et al.   EUROPEAN PHYSICAL JOURNAL E

Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation

(2023) Petr Karnakov et al.   EUROPEAN PHYSICAL JOURNAL E

Neural networks for large eddy simulations of wall-bounded turbulence: numerical experiments and challenges

(2023) Mark Benjamin et al.   EUROPEAN PHYSICAL JOURNAL E

Toward accelerated data-driven Rayleigh–Bénard convection simulations

(2023) Ayya Alieva et al.   EUROPEAN PHYSICAL JOURNAL E

Inferring turbulent environments via machine learning

(2022) Michele Buzzicotti et al.   EUROPEAN PHYSICAL JOURNAL E