35 citations · 95 across the 13 of their papers we have counts for
14 papers
Discovery of Singularities in Partial Differential Equations Using Adaptive Numerical Discretizations
Allen Yang, Lucas Amoudruz, Petros Koumoutsakos
We compute self-similar singularity profiles of partial differential equations (PDEs) using adaptive numerical discretizations based on optimizing a discrete loss (ODIL). The field…
Data-driven impeller model for efficient large eddy simulations of metastable von Kármán flows
Quentin Malé, Lucas Amoudruz, Daniel Bulgarini +5
The von Kármán turbulent swirling flow exhibits intriguing large-scale metastable dynamics, including low-frequency state switching. The study of state switching demands long-durat…
Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning
Yifei Guan, Lucas Amoudruz, Sergey Litvinov +4
Accurate subgrid-scale closures are essential for weather/climate models, where predicting extreme events is critical. Traditional closures have structural errors, e.g., producing…
Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
Lucas Amoudruz, Sergey Litvinov, Riccardo Murri +4
We investigate the capabilities of cloud computing for large-scale,tightly-coupled simulations of biological fluids in complex geometries, traditionally performed in supercomputing…
Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
Lucas Amoudruz, Sergey Litvinov, Costas Papadimitriou +1
Inverse problems are crucial for many applications in science, engineering and medicine that involve data assimilation, design, and imaging. Their solution infers the parameters or…
Ising energy model for the stochastic prediction of tumor islets
Lucas Amoudruz, Gregory Buti, Luciano Rivetti +6
A major challenge in diagnosing and treating cancer is the infiltrative growth of tumors into surrounding tissues. This microscopic spread of the disease is invisible on most diagn…
Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls
Lucas Amoudruz, Petr Karnakov, Petros Koumoutsakos
Contactless manipulation of small objects is essential for biomedical and chemical applications, such as cell analysis, assisted fertilisation, and precision chemistry. Established…
Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss
Petr Karnakov, Lucas Amoudruz, Petros Koumoutsakos
Optimal path planning and control of microscopic devices navigating in fluid environments is essential for applications ranging from targeted drug delivery to environmental monitor…
Inertial Focusing of Spherical Particles: The Effects of Rotational Motion
Dmitry Alexeev, Sergey Litvinov, Athena Economides +3
The identification of cells and particles based on their transport properties in microfluidic devices is crucial for numerous applications in biology and medicine. Neutrally buoyan…
Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
Lucas Amoudruz, Sergey Litvinov, Petros Koumoutsakos
Biomedical applications such as targeted drug delivery, microsurgery, and sensing rely on reaching precise areas within the body in a minimally invasive way. Artificial bacterial f…
The Volume of Healthy Red Blood Cells is Optimal for Advective Oxygen Transport in Arterioles
Lucas Amoudruz, Athena Economides, Petros Koumoutsakos
Red blood cells (RBCs) are vital for transporting oxygen from the lungs to the body's tissues through the intricate circulatory system. They achieve this by binding and releasing o…
The stress-free state of human erythrocytes: data driven inference of a transferable RBC model
Lucas Amoudruz, Athena Economides, Georgios Arampatzis +1
The stress-free state (SFS) of red blood cells (RBCs) is a fundamental reference configuration for the calibration of computational models, yet it remains unknown. Current experime…
Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
Lucas Amoudruz, Petros Koumoutsakos
Artificial bacteria flagella (ABFs) are magnetic helical micro-swimmers that can be remotely controlled via a uniform, rotating magnetic field. Previous studies have used the heter…
Mirheo: High-Performance Mesoscale Simulations for Microfluidics
Dmitry Alexeev, Lucas Amoudruz, Sergey Litvinov +1
The transport and manipulation of particles and cells in microfluidic devices has become a core methodology in domains ranging from molecular biology to manufacturing and drug desi…