Cover Image

Improved Prediction of Settling Behaviour of Solid Particles through Machine Learning Analysis of Experimental Retention Time Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Keren, Liron Simon, Lazebnik, Teddy, Liberzon, Alex
Format:	Preprint
Published:	2023
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting the phenomenon of bouncing of inertial particles crossing density stratified interfaces
by: Mortenfeld, Chen, et al.
Published: (2025)

Palabos Turret: A Particle-Resolved Numerical Framework for Settling Dynamics of Arbitrary-Shaped Particles
by: Bhowmick, Taraprasad, et al.
Published: (2024)

Settling dynamics of an oloid: experiments and simulations
by: Flapper, Mees M., et al.
Published: (2025)

Settling of two rigidly connected spheres
by: Maches, Zachary, et al.
Published: (2024)

Concentration Matters: Enhancing Particle Settling in Narrow Tilted Channels
by: Kundu, Dipankar, et al.
Published: (2025)

Settling of an asymmetric dumbbell in a quiescent fluid
by: Candelier, F., et al.
Published: (2015)

Settling of chiral particles in a turbulent flow
by: Flapper, Mees M., et al.
Published: (2026)

Settling behaviour of thin curved particles in quiescent fluid and turbulence
by: Chan, Timothy T. K., et al.
Published: (2020)

Concerning the Use of Turbulent Flow Data for Machine Learning
by: Sardar, Mohammed, et al.
Published: (2024)

Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows
by: Delcey, Mickaël, et al.
Published: (2024)

A Physics-Informed Machine Learning Framework for Solid Boundary Treatment in Meshfree Particle Methods
by: Mehranfar, Nariman, et al.
Published: (2025)

Towards Streaming Prediction of Oscillatory Flows: A Data Assimilation and Machine Learning Approach
by: Valero, Miguel M., et al.
Published: (2025)

Knowledge-integrated AutoEncoder Model
by: Lazebnik, Teddy, et al.
Published: (2023)

Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
by: Lazebnik, Teddy, et al.
Published: (2023)

Solid-Fluid Interaction on Particle Flow Maps
by: Chen, Duowen, et al.
Published: (2024)

An Experimental Framework to Study Turbulence Induced Particle Mobilization
by: Thiruvenkitam, Vaishak, et al.
Published: (2025)

Viscous Settling of Bravais Unit-Cells
by: Bürger, Sebastian, et al.
Published: (2026)

Two-scale modelling of two-phase flows based on the Stationary Action Principle and a Geometric Method Of Moments
by: Loison, Arthur, et al.
Published: (2023)

Quantitative Assessment of PINN Inference on Experimental Data for Gravity Currents Flows
by: Delcey, Mickaël, et al.
Published: (2023)

Assessment of the point-wise approach for the Turbulent Settling of finite-size particles
by: Battistaa, Francesco, et al.
Published: (2025)

Modeling of Sedimentation of Particles near Corrugated Surface by Boundary Singularity Method
by: Povitsky, Alex
Published: (2023)

A unified two-scale gas-liquid multi-fluid model with capillarity and interface regularization through a mass transfer between scales
by: Loison, Arthur, et al.
Published: (2024)

Improving Spatio-Temporal Accuracy of the Stochastic Particle Fokker-Planck Model
by: Kim, Joonbeom, et al.
Published: (2025)

Fusion of Simulation and Experiment Data for Hypersonic Flow Field Prediction via Pre-Training and Fine-Tuning
by: Jia, Yuan, et al.
Published: (2025)

Time-Dependent Strategy for Improving Aortic Blood Flow Simulations with Boundary Control and Data Assimilation
by: Anwar, Muhammad Adnan, et al.
Published: (2024)

Finite-Time Relaxation of Inertial Particle Clustering in Non-Equilibrium Turbulence
by: Tominaga, Taketo, et al.
Published: (2026)

Field Inversion Machine Learning for Time-Resolved Unsteady Flows in Airfoil Dynamic Stall
by: Li, Zilong, et al.
Published: (2025)

Towards High Resolution Real-Time Optical Flow Particle Image Velocimetry
by: Pimienta, Juan, et al.
Published: (2024)

Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
by: Mallick, Snigdhashree, et al.
Published: (2026)

Non-Unique Machine Learning Mapping in Data-Driven Reynolds Averaged Turbulence Models
by: Man, Anthony, et al.
Published: (2023)

Enhanced State Estimation for turbulent flows combining Ensemble Data Assimilation and Machine Learning
by: Valero, Miguel M., et al.
Published: (2025)

Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles
by: Mjalled, Ali, et al.
Published: (2023)

Improving turbulence control through explainable deep learning
by: Beneitez, Miguel, et al.
Published: (2025)

Meta-PINNs: Meta-Learning Enhanced Physics-Informed Machine Learning Framework for Turbomachinery Flow Predictions under Varying Operation Conditions
by: Han, Yuling, et al.
Published: (2026)

Improving Computational Efficiency in DSMC Simulations of Vacuum Gas Dynamics with a Fixed Number of Particles per Cell
by: Sabouri, Moslem, et al.
Published: (2024)

Settling dynamics of non-Brownian suspension of spherical and cubic particles in Stokes flow
by: Kundu, Dipankar, et al.
Published: (2025)

Identification of structures driving trailing-edge noise. Part I -- Experimental investigation
by: Demange, Simon, et al.
Published: (2024)

Experimental and Numerical Analysis of the Intermittentency in a Nozzle Overexpanded-Flow
by: Martelli, Emanuele, et al.
Published: (2025)

Improved convergence of the spectral proper orthogonal decomposition through time shifting
by: Blanco, Diego C. P., et al.
Published: (2023)

Experimental study of dynamic wetting behavior through curved microchannels with automated image analysis
by: Zhang, Huijie, et al.
Published: (2024)