American Physical Society Sites|APS|Journals|Physics

Session Index

Session R01: Focus Session: Deep Learning in Experimental and Computational Fluid Mechanics (Part I) (5:00pm - 5:45pm CST)

		R01.00001: Pollution Transport Simulation and Machine-Learning Aided Source Detection in Metropolitan Areas Sarah Zhang Preview Abstract
		R01.00002: Unstructured fluid flow data recovery using machine learning and Voronoi diagrams Kai Fukami, Romit Maulik, Nesar Ramachandra, Kunihiko Taira, Koji Fukagata Preview Abstract
		R01.00003: Estimating model error using sparsity-promoting ensemble Kalman inversion Jinlong Wu, Tapio Schneider, Andrew Stuart Preview Abstract
		R01.00004: Deep Operator Neural Networks (DeepONets) for prediction of instability waves in high-speed boundary layers Patricio Clark Di Leoni, Charles Meneveau, George Karniadakis, Tamer Zaki Preview Abstract
		R01.00005: Active Learning of Nonlinear Operators for Forecasting Extreme and Rare Events Themistoklis Sapsis, George Karniadakis Preview Abstract
		R01.00006: Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database Michele Buzzicotti, Fabio Bonaccorso, Patricio Clark Di Leoni, Luca Biferale Preview Abstract
		R01.00007: Non-invasive Inference of Thrombus Material Properties with Physics-informed Neural Networks Minglang Yin, Xiaoning Zheng, Jay Humphrey, George Karniadakis Preview Abstract
		R01.00008: Application of a Machine Learning Turbulent and Non-turbulent Classification Method to Wall Modeled LES of Transitional Channel Flows Ghanesh Narasimhan, Charles Meneveau, Tamer Zaki Preview Abstract
		R01.00009: Learning high dimensional surrogates from mantle convection simulations Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Sebastiano Padovan, Grégoire Montavon Preview Abstract
		R01.00010: Deep Reinforcement Learning for Bluff Body Active Flow Control in Experiments and Simulations. Dixia Fan, Liu Yang, Zhicheng Wang, Michael Triantafyllou, George Karniadakis Preview Abstract
		R01.00011: Super-resolution and Denoising of Fluid Flows Using Physics-informed Convolutional Neural Networks Jian-Xun Wang, Han Gao, Luning Sun Preview Abstract
		R01.00012: Stable and Generalizable Subgrid Modeling of Forced Burgers Turbulence Using Neural Networks and Transfer Learning Adam Subel, Ashesh Chattopadhyay, Yifei Guan, Pedram Hassanzadeh Preview Abstract
		R01.00013: Statistically constrained neural networks for augmenting LES wall modeling Yue Hao, Charles Meneveau, Tamer Zaki Preview Abstract
		R01.00014: FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations Ben Stevens, Tim Colonius Preview Abstract
		R01.00015: Visualization of internal procedure in neural networks for fluid flows Masaki Morimoto, Kai Fukami, Koji Fukagata Preview Abstract
		R01.00016: Emulating turbulence via a Physics-Informed Deep Learning framework Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg Preview Abstract
		R01.00017: Autoencoded Reservoir Computing for the Spatio-Temporal Prediction of a Turbulent Flow Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri Preview Abstract
		R01.00018: Deep Reinforcement Learning for Efficient Navigation in Vortical Flow Fields Peter Gunnarson, Ioannis Mandralis, Guido Novati, Petros Koumoutsakos, John Dabiri Preview Abstract
		R01.00019: Convolutional neural network based wall modeling for large eddy simulation in a turbulent channel flow Naoki Moriya, Kai Fukami, Yusuke Nabae, Masaki Morimoto, Taichi Nakamura, Koji Fukagata Preview Abstract
		R01.00020: A data-driven wall model for LES of flow over periodic hills Zhideng Zhou, Guowei He, Xiaolei Yang Preview Abstract
		R01.00021: Machine learning method for 3D particle tracking velocimetry based on digital inline holography Jiarong Hong, Ruichen He, Siyao Shao, Kevin Mallery, Santosh Kumar Preview Abstract
		R01.00022: Modeling wall-shear stress of turbulent flows through deep reinforcement learning Junhyuk Kim, Hyojin Kim, Changhoon Lee Preview Abstract
		R01.00023: Super-resolution reconstruction of turbulence using unsupervised deep learning Hyojin Kim, Junhyuk Kim, Sungjin Won, Changhoon Lee Preview Abstract
		R01.00024: Data assimilation assisted neural network parameterizations for subgrid processes in multiscale systems Suraj Pawar, Omer San Preview Abstract
		R01.00025: Closed-loop optimal control for shear flows using reinforcement learning Onofro Semeraro, Michele Alessandro Bucci, Lionel Mathelin Preview Abstract
		R01.00026: Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning Ushnish Sengupta, Guenther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew Juniper Preview Abstract
		R01.00027: Estimation of 3D Velocity and Pressure Fields from Tomographic Background Oriented Schlieren Videos using a Physics-Informed Neural Network Shengze Cai, Zhicheng Wang, Frederik Fuest, Young Jin Jeon, Callum Gray, George Karniadakis Preview Abstract
		R01.00028: Convolutional neural networks to predict the onset of oscillatory instabilities in turbulent systems Eustaquio Aguilar Ruiz, Vishnu Rajasekharan Unni, R. I. Sujith, Abhishek Saha Preview Abstract
		R01.00029: Equivariance-preserving Deep Spatial Transformers for Auto-regressive Data-driven Forecasting of Geophysical Turbulence. Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath Preview Abstract
		R01.00030: Data-driven super-parameterization of subgrid-scale processes using deep learning Pedram Hassanzadeh, Ashesh Chattopadhyay, Adam Subel, Yifei Guan Preview Abstract
		R01.00031: Prediction of Rheological Parameters using Surrogate Models with Neural Networks James Hewett, Mathieu Sellier, Dale Cusack, Ben Kennedy, Miguel Moyers-Gonzalez, Jerome Monnier Preview Abstract
		R01.00032: Control by Deep Reinforcement Learning of a separated flow Thibaut Guegan, Michele Alessandro Bucci, Onofrio Semeraro, Laurent Cordier, Lionel Mathelin Preview Abstract
		R01.00033: Learning Full Flow Fields from Sparse Wind Tunnel Data Pablo Hermoso Moreno, Emile Oshima, Shengze Cai, Morteza Gharib Preview Abstract
		R01.00034: Interface learning paradigms for multi-scale and multi-physics systems Shady Ahmed, Suraj Pawar, Omer San Preview Abstract
		R01.00035: Robust Reservoir Computing for the Prediction of Chaotic Systems Alberto Racca, Luca Magri Preview Abstract
		R01.00036: A Deep Learning Framework for Computational Fluid Dynamics on Irregular Geometries Ali Kashefi, Davis Rempe, Leonidas Guibas Preview Abstract
Not Participating		R01.00037: Identifying Flow Physics in Convolutional Layers Ashley Scillitoe, Pranay Seshadri Preview Abstract
		R01.00038: A unifying framework of solving forward and inverse problems in fluid mechanics via deep learning Han Gao, Jian-Xun Wang Preview Abstract
		R01.00039: A Generative Model to Solve Steady Navier-Stokes Equations with Reduced Training Shen Wang, Joshua Agar, Yaling Liu Preview Abstract

Session R02: Bubbles: Dynamics (5:00pm - 5:45pm CST)

		R02.00001: On a carpet of microbubbles existing beneath the hydrogen bubbles growing at a microelectrode Aleksandr Bashkatov, Syed Sahil Hossain, Yang Xuegeng, Gerd Mutschke, Kerstin Eckert Preview Abstract
		R02.00002: Large Bubbles in Vibrated Liquid Are Levitated by Wall Motions J.R. Torczynski, T.P. Koehler Preview Abstract
		R02.00003: Oscillations of Large Bubbles Due to Sudden Finite Volume Release Idan Eizenberg, Dan Liberzon, Ian Jacobi Preview Abstract
		R02.00004: Interaction of two non-coalescing bubbles rising in a non-isothermal self-rewetting fluid Kirti Sahu, Mounika Balla, Manoj Kumar Tripathi, Omar K Matar Preview Abstract
		R02.00005: Thermal effects in the collapse of a cavitation bubble Minki Kim, Eric Johnsen Preview Abstract
		R02.00006: How Fluid Accumulation Affects the Dynamics~of Bubble Growth and Rearrangements Anthony Chieco, Douglas Durian Preview Abstract
		R02.00007: Lift Force Acting on the Trailing Bubble in the Leading Bubble's Wake Hiroaki Kusuno, Toshiyuki Sanada Preview Abstract
		R02.00008: Hydrodynamics of High Dive and Water Entry Related Injuries. Caroline Cohen, Thbault Guillet, David Quéré, Peko Hosoi, Christophe Clanet Preview Abstract
		R02.00009: Cavitation Bubble Growth with Phase Transition near a Rigid Wall Mauro Rodriguez, Spencer Bryngelson, Tim Colonius Preview Abstract
		R02.00010: Experimental study of oil-coated bubble rising dynamics Liu Hong, Bingqiang Ji, Jin-Tae Kim, Jie Feng, Leonardo Chamorro Preview Abstract
		R02.00011: Oil-coated bubble formation at coaxial orifices Bingqiang Ji, Jie Feng Preview Abstract
		R02.00012: Time-Resolved X-ray Radiography of Bubble Bifurcation in a Vibrated, Closed, Liquid-Filled Cylinder Benjamin Halls, Dayna Obenauf, John Torczynski Preview Abstract
		R02.00013: Acoustic, thermal and chemical response of single bubble collapse at audible frequencies and high amplitudes Davide Masiello, Prashant Valluri, Ignacio Tudela, Stephen Shaw, Rama Govindarajan Preview Abstract
		R02.00014: Inertially collapsing bubbles: a boundary layer approach to mass transfer modelling Stephen Shaw, Davide Masiello, Ignacio Tudela, Prashant Valluri, Rama Govindarajan Preview Abstract
		R02.00015: Application of Koopman theory and dynamic mode decomposition to the analysis of nonlinear bubble dynamics Andrew J. Gibson, Xin Yee, Michael L. Calvisi Preview Abstract
Not Participating		R02.00016: Ballistic Brownian Motion of Supercavitating Nanoparticles Dezhao Huang, Jarrod Schiffbauer, Eungkyu Lee, Tengfei Luo Preview Abstract
		R02.00017: Single bubble impacting a curved surface. Anuj Baskota, Alireza Hooshanginejad, Ehsan Esmaili, Sunghwan Jung Preview Abstract
		R02.00018: Dynamics of a rising bubble through the liquid-liquid interface Ragavendiran Muniyammal, Alakesh Chandra Mandal, Sanjay Kumar Preview Abstract
		R02.00019: Acoustic Bubble Dynamics in a Yield-stress Fluid Brice Saint-Michel, Valeria Garbin Preview Abstract

Session R03: Bubbles: Growth, Heat Transfer and Boiling (5:00pm - 5:45pm CST)

		R03.00001: Nucleate boiling in the presence of an oscilalting torus Harshal Raut, Amitabh Bhattacharya, Atul Sharma Preview Abstract
		R03.00002: Understanding the coupled mechanisms of microlayer evaporation and single vapor bubble dynamics Surya Narayan L., Atul Srivastava Preview Abstract
		R03.00003: Effects of surface nanostructure and wettability on pool boiling: A molecular dynamics study Armin Shahmardi, Outi Tammisola, Mauro Chinappi, Luca Brandt Preview Abstract
		R03.00004: Sub-cooled flow boiling in impacting drops on hot surfaces Minori Shirota, Masaki Kato Preview Abstract
		R03.00005: Thin film interferometric mapping of microlayer dynamics during the growth process of single vapour bubble under nucleate flow boiling regime. Gulshan Kumar Sinha, Atul Srivastava Preview Abstract
		R03.00006: Gravity Effects on Pool Boiling Akash Dhruv, Elias Balaras, Amir Riaz, Jungho Kim Preview Abstract
		R03.00007: Deep Learning Strategies for Critical Heat Flux Detection in Boiling Ying Sun, Moein Rassoulinejad-Mousavi, Tejaswi Soori, Firas Al-Hindawi, Hyunsoo Yoon, Teresa Wu, Han Hu Preview Abstract
		R03.00008: Effect of subcooled temperature on the nucleate pool boiling Hyunsup Kim, Hyungmin Park Preview Abstract
		R03.00009: A critical comparison between computational models of evaporation and boiling Mehdi Vahab, Mark Sussman, Kourosh Shoele Preview Abstract
		R03.00010: Gibbs effect on evaporation of a vapor bubble. Arash Asadollahi, Asghar Esmaeeli Preview Abstract

Session R04: Bubbles: Microbubbles and Nanobubbles and Rupture (5:00pm - 5:45pm CST)

		R04.00001: Pool boiling investigations via non-equilibrium molecular dynamics: the role of surface topography in heterogenous nanobubble nucleation Alessio Lavino, Edward Smith, Mirco Magnini, Omar Matar Preview Abstract
		R04.00002: The Nature of Bubble Entrapment in a Lamb-Oseen Vortex Ryan Kelly, Marcos Botto, David Goldstein, Saikishan Suryanarayanan, Robert Handler Preview Abstract
		R04.00003: The Formation of Gas Jets and Vortex Rings from Bursting Bubbles Ali Dasouqi, Geum-Su Yeom, David Murphy Preview Abstract
		R04.00004: The Making and Breaking of Viscous Bubbles Phalguni Shah, Eleanor Ward, Michelle Driscoll Preview Abstract
		R04.00005: Jet Drops Produced by Bubble Bursting at an Oil-covered Interface Zhengyu Yang, Bingqiang Ji, Jie Feng Preview Abstract

Session R05: Bubbles: Surfactants and Foams (5:00pm - 5:45pm CST)

		R05.00001: Rheological behavior of a millimetric foam films assembly: Part III shear Raphael Poryles, Adrien Bussonnière, Emmanuel Schaub, Isabelle Cantat Preview Abstract
		R05.00002: Stability of marginal pinching in soap films. Corentin Tregouet, Isabelle Cantat Preview Abstract
		R05.00003: Probing surfactant dynamics in a sheared foam through level-set simulations Yedhir Mezache, Marie Le Merrer, François Detcheverry, Anne-Laure Biance, Peter Spelt Preview Abstract
		R05.00004: Rheological behavior of a millimetric foam films assembly: Part I Elasticity Adrien Bussonniere, Isabelle Cantat Preview Abstract
		R05.00005: Rheological behavior of a millimetric foam films assembly: Part II Viscosity Isabelle Cantat, Adrien Bussonnière Preview Abstract
		R05.00006: Dynamics of a surfactant-laden bubble bursting through an interface Omar K. Matar, Cristian Ricardo Constante Amores, Assen Batchvarov, Lyes Kahouadji, Seungwon Shin, Jalel Chergui, Damir Juric Preview Abstract
		R05.00007: Dynamical fracture: a continuum derivation of the velocity gap Peter Stewart, Sascha Hilgenfeldt Preview Abstract
		R05.00008: Formation, growth and coalescence of nanoscopic mesas in stratifying foam films Chenxian Xu, Subinuer Yilixiati, Vivek Sharma Preview Abstract
		R05.00009: Drainage of protein foams and foam films Lena Hassan, Chenxian Xu, Vivek Sharma Preview Abstract
		R05.00010: Stratification in micellar foam films as a probe for intermicellar interactions Chrystian Ochoa, Shang Gao, Samanvaya Srivastava, Vivek Sharma Preview Abstract

Session R06: Computational Fluid Dynamics: LBM (5:00pm - 5:45pm CST)

		R06.00001: Implementation of a generalised lattice Boltzmann method for external flow simulations Juan Antonio Reyes Barraza, Ralf Deiterding Preview Abstract
		R06.00002: Study of a chain reaction in electrokinetic fluids with the Lattice Boltzmann Method Haijing Li, Federico Toschi, Herman Clercx Preview Abstract
		R06.00003: Cubature Rules for Off-Lattice Boltzmann Methods in Two and Three Dimensions Dominik Wilde, Andreas Kraemer, Mario Bedrunka, Dirk Reith, Holger Foysi Preview Abstract
		R06.00004: 3-D Discrete Dynamical System Based on Volumetric Lattice Boltzmann Equation . X. Zhang, J. McDonough, H. Yu Preview Abstract
		R06.00005: Toward an Adaptive Mesh Refinement LBM for rough and porous media modelling Mikael Grondeau, Ralf Deiterding Preview Abstract
		R06.00006: Momentum fluctuations in coarse-grained fluid models M. Reza Parsa, Changho Kim Preview Abstract
		R06.00007: A Lattice Boltzmann Method for Electromagnetic Wave Scattering by Water Droplets Jamal Hussain, Mohd Meraj Khan, Ratul Dasgupta, Harish N Dixit, Sumesh P. Thampi, Anubhab Roy Preview Abstract

Session R07: Computational Fluid Dynamics: LES, DNS, Hybrid RANS/LES (5:00pm - 5:45pm CST)

		R07.00001: A Stochastic Wall Model for Large-Eddy Simulation of Rough Channel Flows Livia S Freire, Marcelo Chamecki Preview Abstract
		R07.00002: A data-driven hybrid LES/RANS framework for wall-bounded turbulent flows Pasha Piroozmand, Patrick Jenny Preview Abstract
		R07.00003: Evaluation of Wall Models for Internal Combustion Engines using Direct Numerical Simulation Muhsin Ameen, Saumil Patel Preview Abstract
		R07.00004: Large Eddy Simulations of Internal Combustion Engines to Understand the Origins of CCV Saumil Patel, Muhsin Ameen, Tanmoy Chatterjee, Sicong Wu Preview Abstract
		R07.00005: LES versus URANS for flow in a centrifugal pump Beomjun Kye, Haecheon Choi Preview Abstract
		R07.00006: Integral length-scale approximation based modeling of subfilter-scale scalar flux for large-eddy simulation of stratified turbulent flows Reetesh Ranjan Preview Abstract
		R07.00007: Requirements and sensitivity analysis of RANS-free wall modeled LES Michael Whitmore, Adrian Lozano-Duran, Parviz Moin Preview Abstract
		R07.00008: PANS Modeling for Variable-Density Flow Filipe Pereira, Fernando Grinstein, Daniel Israel, Sharath Girimaji Preview Abstract
		R07.00009: A Compressible Formulation of the Active Model Split (AMS) Hybrid RANS/LES Model Clark Pederson, Todd Oliver, Robert Moser Preview Abstract
		R07.00010: An Analysis of LES models in Stably Stratified Flows Jeremy Melvin, Robert D. Moser Preview Abstract
		R07.00011: Length-Scale Dependence of Dynamics of Homogeneous Variable Density Turbulence Juan Saenz, Denis Aslangil, Daniel Livescu Preview Abstract
		R07.00012: DNS of Flow Over Smooth and Rough Wavy Walls at $\mathit{Re}_\lambda=4760$ Vedant Puri, Ramesh Balakrishnan Preview Abstract
		R07.00013: DNS-data-driven subgrid-scale scalar flux model for turbulent spatially evolving flows Oriol Lehmkuhl, Guillermo Araya Preview Abstract
		R07.00014: Towards optimal numerics for the simulation of boundary-layer flows Manuel Schmid, Marco Giometto, Marc Parlange Preview Abstract
		R07.00015: Direct numerical simulation (DNS) study of the effect of wake structure on drag coefficient of thin flexible cylinder at low Reynolds numbers Harika Gurram, Chelakara Subramanian, Maytal Dahan, Tracy Brown Preview Abstract
		R07.00016: Subgrid-scale Modeling and Resolution Sensitivities in Wall Modeled LES of High-Lift Aircraft Configurations Konrad Goc, Sanjeeb Bose, Parviz Moin Preview Abstract

Session R08: Computational Fluid Dynamics: RANS Modeling (5:00pm - 5:45pm CST)

		R08.00001: LES-informed RANS Predictions Mattia Fabrizio Ciarlatani, Zengrong Hao, Catherine Gorlé Preview Abstract
		R08.00002: Variational Data Assimilation for Incompressible RANS Closure Models Oliver Brenner, Pasha Piroozmand, Patrick Jenny Preview Abstract
		R08.00003: The Response of Modified Turbulent Pipe-Flow Targeting Distinct Fourier Modes at a Range of Reynolds Numbers Mehran Masoumifar, Suyash Verma, Arman Hemmati Preview Abstract
		R08.00004: Evaluation of entropy production in a vacuum objective supersonic ejector via unsteady Reynolds-averaged Navier-Stokes simulation Deepanshi Sisodiya, Jesse Morales, Sina Kheirkhah, Joshua Brinkerhoff Preview Abstract
		R08.00005: Normalized Reynolds Stress Closure Charles Petty, Andre Benard Preview Abstract
		R08.00006: Numerical Study of the Particles Dispersion Expelled during Breathing, Coughing, and Sneezing in Public Indoor Environments Jhon Quinones, Ali Doosttalab, Victor Castano, Luciano Castillo Preview Abstract

Session R09: Computational Fluid Dynamics: SPH and Mesh Free Methods (5:00pm - 5:45pm CST)

		R09.00001: SPH simulations of helicopter ditching on calm water and in waves. Guillaume Oger, Alban Vergnaud, Benjamin Bouscasse, Séverin Halbout Preview Abstract
		R09.00002: Graph Neural Network for Lagrangian Fluid Simulation Zijie Li, Amir Barati Farimani Preview Abstract
		R09.00003: Turbulence Modeling in Smoothed Particle Hydrodynamics Francesco Ricci, Renato Vacondio, Angelantonio Tafuni Preview Abstract
		R09.00004: DualSPHysics: from fluid dynamics to multiphysics problems Angelantonio Tafuni, Jose Dominguez, Georgios Fourtakas, Corrado Altomare, Ricardo Canelas, Orlando García-Feal, Iván Martínez-Estévez, Athanasios Mokos, Renato Vacondio, Alejandro Crespo, Benedict Rogers, Peter Stansby, Moncho Gómez-Gesteira Preview Abstract
		R09.00005: Coupling the Finite Volume Particle Method with the Finite Element Method for fluid-structure interaction for large deformations Maryrose McLoone, Nathan Quinlan Preview Abstract

Session R10: Computational Fluid Dynamics: Uncertainty Quantification (5:00pm - 5:45pm CST)

		R10.00001: Two-Stage Ensemble Kalman Filter Approach to Estimate Fracture Parameters in Sub-Surface Formations Michael Liem, Patrick Jenny Preview Abstract
		R10.00002: Physics-constrained multi-fidelity convolutional neural networks for surrogate fluid modeling Luning Sun, Jian-Xun Wang Preview Abstract
		R10.00003: Uncertainty Quantification in Complex Flows for Aeronautical {\&} Mechanical Engineering Applications Francisco-Javier Granados-Ortiz, Joaquin Ortega-Casanova Preview Abstract
		R10.00004: Influence of Reynolds Number and Flow Configuration on Turbulence Model Form Errors Kerry S. Klemmer, Michael E. Mueller Preview Abstract
		R10.00005: Quantifying the uncertainties of density self-correlation in RANS simulations for variable density flows Jan Felix Heyse, Zhu Huang, Aashwin Mishra, Gianluca Iaccarino, Timothy Clarke Wallstrom, David Sharp Preview Abstract
		R10.00006: Epistemic uncertainty quantification of Reynolds stress models Xinyi Huang, Naman Jain, Robert Kunz, Xiang Yang Preview Abstract
		R10.00007: Evaluation of a polynomial-chaos based multi-fidelity simulation framework for predicting wind pressure loads on buildings. Themistoklis Vargiemezis, Catherine Gorle Preview Abstract
		R10.00008: Machine-learning quasilinear Gaussian moment closures for uncertainty quantification of turbulent fluid flows Alexis-Tzianni Charalampopoulos, Themistoklis Sapsis Preview Abstract
		R10.00009: Exploring turbulence model uncertainties in turbomachinery applications Marcel Matha, Christian Morsbach Preview Abstract
		R10.00010: Full-scale validation of natural ventilation models using uncertainty quantification Chen Chen, Catherine Gorlé Preview Abstract
		R10.00011: Field Sensitivity Analysis for Wind Energy Modeling Julian Quick, Ryan King, Marc Henry de Frahan, Shreyas Ananthan, Michael Sprague, Peter Hamlington Preview Abstract

Session R11: Particle-Laden Flows: General (5:00pm - 5:45pm CST)

		R11.00001: Dynamics of spheres falling in quiescent flows Facundo Cabrera, Mickael Bourgoin, Nicolas Plihon Preview Abstract
		R11.00002: Toward a Mean Velocity Scaling in Variable Property Particle-Laden Channel Flow Jacob West, Sanjiva Lele Preview Abstract
		R11.00003: Particle capture by drops in Turbulence Arash Hajisharifi, Cristian Marchioli, Alfredo Soldati Preview Abstract
		R11.00004: Inertial particle dynamics with history effects at fixed computational cost Divya Jaganathan, S Ganga Prasath, Vishal Vasan, Rama Govindarajan Preview Abstract
		R11.00005: Effect of Center of Mass-Offset on Settling and Rising Spheres Jelle Will, Dominik Krug Preview Abstract
		R11.00006: Targeted particle delivery via reconnecting vortex rings Joshua Wawryk, Joseph Mouallem, Hamid Daryan, Zhao Pan, Jean-Pierre Hickey Preview Abstract
		R11.00007: Maximum drag reduction asymptote for particulate pipe flows Nishchal Agrawal, George Choueiri, Bjorn Hof Preview Abstract
		R11.00008: Methods for improving the particle sizing resolution of inertial impactors using ring shaped deposits Shivuday Kala, J.R. Saylor Preview Abstract
		R11.00009: Dilute suspensions over and through porous structures; the impact of permeability and porous thickness Eileen Haffner, Theresa Wilkie, Parisa Mirbod Preview Abstract
		R11.00010: Novel Indirect Particle Temperature Measurement Methodology Using IR and Visible-light Cameras Jesus Ortega, Guillermo Anaya, Clifford Ho, Peter Vorobieff, Gowtham Mohan Preview Abstract
		R11.00011: Electron Temperature Measurement using Collisional Radiative Model in PFRC-II Christopher Jakuback Preview Abstract

Session R12: Particle-Laden Flows: Clustering (5:00pm - 5:45pm CST)

		R12.00001: Toward improved heat transfer models for strongly-coupled particle-laden flows Sarah Beetham, Aaron Lattanzi, Jesse Capecelatro Preview Abstract
		R12.00002: On Understanding Preferential Concentration for Particle-Laden Isotropic Turbulent Flows using Combined Theoretical and Data-Driven Techniques Kyle Pietrzyk, Fady Najjar, Jeremy Horwitz, Roger Minich Preview Abstract
		R12.00003: Analysis of divergence and rotation of the intertial particle velocity in high Reynolds number turbulence Thibault Oujia, Keigo Matsuda, Kai Schneider Preview Abstract
		R12.00004: Experimental analysis of clustering in particle risers Kee Onn Fong, Filippo Coletti Preview Abstract
		R12.00005: Falling snow behaves as inertial particles in turbulence Filippo Coletti, Cheng Li, Kaeul Lim, Tim Berk, Aliza Abraham, Michael Heisel, Michele Guala, Jiarong Hong Preview Abstract
		R12.00006: The effect of particle to fluid density ratio on the clustering of inertial particles in turbulence Anirban Bhattacharjee, Mahdi Esmaily Preview Abstract
		R12.00007: On large-scale clustering in particle laden turbulence Keigo Matsuda, Kai Schneider, Katsunori Yoshimatsu Preview Abstract
		R12.00008: Topological and temporal analysis of particle clusters in turbulent flows using density-based clustering algorithms. Alvaro Tomas, Laura Villafane Preview Abstract
		R12.00009: Forcing in DNS of Isotropic Turbulence and its Effects on Closure Model for the Diffusion Current of High-Inertia Particle Pairs Sarma Rani, Donald Koch Preview Abstract
		R12.00010: Mechanisms governing the settling velocities of inertial particles in wall-bounded turbulence David Richter, Andrew Bragg, Guiquan Wang Preview Abstract
		R12.00011: Predicting particle concentration enhancement due to preferential concentration in a mechanically-driven regime using the two-fluid equations Sara Nasab, Pascale Garaud Preview Abstract
		R12.00012: Experimental measurements of diatom trajectories and distributions in a small-scale turbulence tank Nimish Pujara, Kevin Du Clos, Stephanie Ayres, Lee Karp-Boss, Evan Variano Preview Abstract
		R12.00013: Clustering of Inertial Particles in Turbulent Flow Through a Face-Centered Cubic Cell Xiaoliang He, Thibault Oujia, Benjamin Kadoch, Keigo Matsuda, Kai Schneider, Sourabh Apte Preview Abstract

Session R13: Particle-Laden Flows: Particle-Turbulence Interaction (5:00pm - 5:45pm CST)

		R13.00001: Numerical modeling of the breakup of cohesive particles by turbulence Yuan Yao, Jesse Capecelatro Preview Abstract
		R13.00002: Fluid motion surrounding a lifting sphere in turbulent boundary layers Yi Hui Tee, Ellen Longmire Preview Abstract
		R13.00003: Modulation of inter-phase, cross-scale momentum transfer by preferentially-concentrated inertial particles Miralireza Nabavi Bavil, Mario Di Renzo, Jeonglae Kim Preview Abstract
		R13.00004: Snow settling dynamics in atmospheric turbulence Jiaqi Li, Aliza Abraham, Michael Heisel, Filippo Coletti, Michele Guala, Jiarong Hong Preview Abstract
		R13.00005: Applicability of LES models in capturing turbulence disruption for inertial particle laden turbulent flows Naveen Rohilla, Partha S Goswami, Pradeep Muramulla Preview Abstract
		R13.00006: Liquid droplet formation and dispersion characteristics in a turbulent round jet. Peter Dearborn Huck, Rodrigo Osuna-Orozco, Nathanael Machicoane, Alberto Aliseda Preview Abstract
		R13.00007: Experimental Investigation of Two-phase Flow in a Porous Plate Turbulent Wake Kristin Travis, Sarah E. Smith, Mickaël Bourgoin, Henda Djeridi, Raúl Bayoán Cal, Martín Obligado Preview Abstract
		R13.00008: A correction scheme for two-way coupled Euler-Lagrange approach on arbitrary grids Pedram Pakseresht, Sourabh V. Apte Preview Abstract
		R13.00009: Accurate modeling of group settling of a dense cluster of particles using the corrected-point-particle (cPP) approach Lokesh Jothi Vincent, Pedram Pakseresht, Sourabh V. Apte Preview Abstract
		R13.00010: Experimental measurements of particle transport modification in dense particle-laden turbulent flows Roumaissa HASSAINI, Filippo Coletti Preview Abstract
		R13.00011: On Turbulence and Particle Transport in Closed Rooms. Som Dutta, Shyuan Cheng, Aditya Parikh, Tadd Truscott, Paul Fischer, Leonardo Chamorro Preview Abstract

Session R14: Particle-Laden Flows: Turbulence Modulation (5:00pm - 5:45pm CST)

		R14.00001: Turbulence modulation by inertial particles in Eulerian-Lagrangian simulations of a semi-dilute particle-laden channel flow. Himanshu Dave, Mohamed Kasbaoui Preview Abstract
		R14.00002: Modulation of fluid temperature fluctuations by particles in turbulence Izumi Saito, Takeshi Watanabe, Toshiyuki Gotoh, Tatsuya Yasuda Preview Abstract
		R14.00003: Effect of Localized Particle Injection and Particle Migration on Turbulence Modulation in Particle-Laden Turbulent Flows. Pradeep Muramulla, V Kumaran, Partha S Goswami Preview Abstract