Image de couverture de livre

Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Karnakov, Petr, Amoudruz, Lucas, Koumoutsakos, Petros
Format:	Preprint
Publié:	2025
Sujets:	Computational Physics Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls
par: Amoudruz, Lucas, et autres
Publié: (2025)

Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
par: Amoudruz, Lucas, et autres
Publié: (2024)

Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
par: Karnakov, Petr, et autres
Publié: (2022)

Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
par: Amoudruz, Lucas, et autres
Publié: (2025)

The Volume of Healthy Red Blood Cells is Optimal for Advective Oxygen Transport in Arterioles
par: Amoudruz, Lucas, et autres
Publié: (2023)

Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data
par: Heimbach, Lothar, et autres
Publié: (2025)

Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
par: Balcerak, Michal, et autres
Publié: (2023)

Prediction of Extreme Events in Multiscale Simulations of Geophysical Turbulence using Reinforcement Learning
par: Guan, Yifei, et autres
Publié: (2026)

Ising energy model for the stochastic prediction of tumor islets
par: Amoudruz, Lucas, et autres
Publié: (2025)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
par: Balcerak, Michal, et autres
Publié: (2024)

Scalable, Cloud-Based Simulations of Blood Flow and Targeted Drug Delivery in Retinal Capillaries
par: Amoudruz, Lucas, et autres
Publié: (2025)

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
par: Gao, Han, et autres
Publié: (2025)

Generative Learning for Forecasting the Dynamics of Complex Systems
par: Gao, Han, et autres
Publié: (2024)

Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations
par: Gao, Han, et autres
Publié: (2024)

Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning
par: Fischer, Paul, et autres
Publié: (2025)

Data-driven shape inference in three-dimensional steady state supersonic flows using ODIL and JAX-Fluids
par: Buhendwa, Aaron B., et autres
Publié: (2024)

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems
par: Heidenreich, Hunter S., et autres
Publié: (2024)

Inertial Focusing of Spherical Particles: The Effects of Rotational Motion
par: Alexeev, Dmitry, et autres
Publié: (2024)

Py-DiSMech: A Scalable and Efficient Framework for Discrete Differential Geometry-Based Modeling and Control of Soft Robots
par: Lahoti, Radha, et autres
Publié: (2025)

Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
par: von Bassewitz, Jan-Philipp, et autres
Publié: (2024)

Multi-robot Rigid Formation Navigation via Synchronous Motion and Discrete-time Communication-Control Optimization
par: Yang, Qun, et autres
Publié: (2025)

Cross-sectional Topology Optimization of Slender Soft Pneumatic Actuators using Genetic Algorithms and Geometrically Exact Beam Models
par: Schindler, Leon, et autres
Publié: (2024)

A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread
par: Vogiatzoglou, Konstantinos, et autres
Publié: (2026)

Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
par: Fang, Xiang, et autres
Publié: (2026)

Controlling Topological Defects in Polar Fluids via Reinforcement Learning
par: Singh, Abhinav, et autres
Publié: (2025)

Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot
par: Vanc, Petr, et autres
Publié: (2024)

Universal Online Temporal Calibration for Optimization-based Visual-Inertial Navigation Systems
par: Fan, Yunfei, et autres
Publié: (2025)

UAS Visual Navigation in Large and Unseen Environments via a Meta Agent
par: Han, Yuci, et autres
Publié: (2025)

Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation
par: Schneider, Linda-Sophie, et autres
Publié: (2024)

Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
par: Chandra, Rohan, et autres
Publié: (2023)

OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models
par: Kuang, Yuxuan, et autres
Publié: (2024)

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
par: Altrabulsi, Mohamed Khair, et autres
Publié: (2026)

PIGEON: VLM-Driven Object Navigation via Points of Interest Selection
par: Peng, Cheng, et autres
Publié: (2025)

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation
par: Zheng, Jiamin, et autres
Publié: (2026)

Stop Wandering: Efficient Vision-Language Navigation via Metacognitive Reasoning
par: Li, Xueying, et autres
Publié: (2026)

Optimal swimming with body compliance in an overdamped medium
par: Lin, Jianfeng, et autres
Publié: (2025)

Optimal Design of Continuum Robots with Reachability Constraints
par: Cheong, Hyunmin, et autres
Publié: (2025)

Optimal-Horizon Social Robot Navigation in Heterogeneous Crowds
par: Shi, Jiamin, et autres
Publié: (2026)

Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
par: Xiong, Ziliang, et autres
Publié: (2025)

NavigateDiff: Visual Predictors are Zero-Shot Navigation Assistants
par: Qin, Yiran, et autres
Publié: (2025)