K. Alame & K. Mahesh, 2024, Effect of gas content on cavitation nuclei, Accepted for publication in  Journal of Fluid Mechanics.

 F. Brandao, P. Kumar & K. Mahesh, 2024, Large–eddy simulation of elliptic hydrofoil tip vortex cavitation under incipient conditions, Submitted to International Journal of Multiphase Flow.

A. Fakhreddine, K. Alame & K. Mahesh, 2024, Directionally-split volume-of-fluid technique for front propagation under curvature flow, Submitted to International Journal for Numerical Methods in Fluids.

J. Chen, J. Prelesnik, B. Liang, Y. Sun, M. Bhatt, C. Knight, K. Mahesh & J.I. Siepmann, 2023, Large-scale molecular dynamics simulations of bubble collapse in water: Effects of system size, water model, and nitrogen, The Journal of Chemical Physics, 159, 224505.

A. Madabhushi & K. Mahesh, 2023, A compressible hybrid multi-scale model to simulate cavitating flows, Journal of Fluid Mechanics, 961: A6.

F. Temprano-Coleto, S.M. Smith, F.J. Peaudecerf, J.L.Landel, F. Gibou & P. Luzzatto-Fegiz, 2023, A single parameter can predict surfactant impairment of superhydrophobic drag reduction, Proceedings of the National Academy of Sciences, 120(3): e2211092120.

K. Agarwal, O. Ram, Y. Lu, J. Katz, 2023, On the pressure field, nuclei dynamics and their relation to cavitation inception in a turbulent shear layer, Journal of Fluid Mechanics, 966:A31.

J. Li & P. M. Carrica, 2023, Numerical Study of the Cavitating Flow over Backward Facing Step with a Polydisperse Two-Phase Flow Model ,  Physics of Fluids, 35, 063313

S. H. Bryngelson, R. O. Fox, & T. Colonius, 2023, Conditional moment methods for polydisperse cavitating flows, Journal of Computational Physics, 477: 111917.

L. Larios-Cardenas & F. Gibou, 2022, A hybrid inference system for improved curvature estimation in the level-set method using machine learning, Journal of Computational Physics, 463, 111291.

L. Larios-Cardenas & F. Gibou, 2022, Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method, Journal of Scientific Computing, 93, 6.

L. Larios-Cardenas, F. Gibou, Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method, Journal of Computational Physics, 471: 111623.

Charalampopoulos, T. Sapsis, 2022, Uncertainty quantification of turbulent systems via physically consistent and data-informed reduced-order models, Physics of Fluids, 34 (2022) 075120.

A. Charalampopoulos, S. H. Bryngelson, T. Colonius & T. Sapsis, 2022, Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes applied to bubble dynamics, Phil. Trans. Royal Soc. A, 380 (2022) 20210209.

A. Charalampopoulos, T. Sapsis, 2021, Machine-learning energy-preserving nonlocal closures for turbulent fluid flows and inertial tracers, Physical Review Fluids, 7: 024305.

F. Brandao & K. Mahesh. 2021, Large-eddy simulation of cavitation inception in a shear flow, International Journal of Multiphase Flow, 146: 103865.

M. Bappy, P. M. Carrica, J. Li, J. E. Martin, A. Vela-Martín, L. Freire & G Buscaglia. 2022, A sub-grid scale cavitation inception model, Physics of Fluids, 34:033308.

S. H. Bryngelson, K. Schmidmayer, V. Coralic, K. Maeda, J. Meng, T. Colonius, 2021, MFC: An open-source high-order multi-component, multi-phase, and multi-scale compressible flow solver, Computer Physics Communications, 4655, 107396. 

K. Agarwal, O. Ram, J. Wang, Y. Lu, & J. Katz, 2021, Reconstructing velocity and pressure from noisy sparse particle tracks using cost minimization, Exp Fluids, 62, 75.

J-S Spratt, M. Rodriguez, K.  Schmidmayer, S.  Bryngelson, J.  Yang, C.  Franck, and T. Colonius, 2021, Characterizing viscoelastic materials via ensemble-based data assimilation of bubble collapse observations. Journal of the Mechanics and Physics of Solids, 152 . Art. No. 104455.

J. Li & P. M. Carrica, 2021, A population balance cavitation model, International Journal of Multiphase Flow, 138: 103617.

R. Egan, A. Guittet, F. Temprano-Coleto, T. Isaac, F.J. Peaudecerf, J.R. Landel, P. Luzzatto-Fegiz, C. Burstedde, F. Gibou, 2021, Direct numerical simulation of incompressible flows on parallel Octree grids, Journal of Computational Physics, 428, 1-29.

S. Pakravan, P. Mistani, M. Aragon-Calvo, F. Gibou, 2021, Solving inverse-PDE problems with physics-aware neural networks, Journal of Computational Physics, 440, 110414.

L. Larios-Cardenas, F. Gibou, 2021, A deep learning approach for the computation of curvature in the level-set method, SIAM Journal on Scientific Computing, 43, A1754-A1779.

A. Bhatt, H. Ganesh, and S. L. Ceccio, 2021, Cavitating Flow Behind a Backward Facing Step, International Journal of Multiphase Flow, 103584.

J. Wu, L. Deijlen, A. Bhatt, H. Ganesh, and S. L. Ceccio, 2021, Cavitation Dynamics and Vortex Shedding in the Wake of a Bluff Body, Journal of Fluid Mechanics, 917, A26.

 M. Bhatt & K. Mahesh, 2021, A numerical approach to address the acoustic stiffness in cavitating flows, International Journal of Multiphase Flow, 103568.

O. Ram, K. Agarwal and J. Katz, 2020, On the mechanisms that sustain the inception of attached cavitation , Journal of Fluid Mechanics 901, R4.

J.R. Landel, F.J. Peaudecerf, F. Temprano-Coleto, F. Gibou, R.E. Goldstein, P. Luzzatto-Fegiz, 2019, A theory for the slip and drag of superhydrophobic surfaces with surfactant, Journal of Fluid Mechanics, 883, A18.

Z. Y. Wan, P. Karnakov, P. Koumoutsakos, T. Sapsis, 2020, Bubbles in turbulent flows: Data-driven, kinematic models with history terms, International Journal of Multiphase Flow, 129:103286.

K. Alame, S. Anantharamu & K. Mahesh, 2020, A variational level set methodology without reinitialization for equilibrium interfaces over arbitrary solid surfaces, Journal of Computational Physics, 406: 109184.

M. Bappy, A. Vela-Martin, P. M. Carrica, G. C. Buscaglia, L. S. Freire, 2020, Effect of bubble size on Lagrangian pressure statistics in homogeneous isotropic turbulence, Journal of Physics: Conference Series, 1522: 012002.

M. Bappy, A. Vela-Martin, P. M. Carrica, G. C. Buscaglia, 2020, Pressure statistics of gas nuclei in homogeneous isotropic turbulence with an application to cavitation inception, Physics of Fluids 32, 095107.

F. Brandao, M. Bhatt & K. Mahesh, 2020, Numerical study of cavitation regimes in flow over a circular cylinder, Journal of Fluid Mechanics, 885: A19.

M. Bhatt & K. Mahesh, 2020, Numerical investigation of partial cavitation regimes over a wedge using large eddy simulations, International Journal of Multiphase Flow, 122: 103155. 

D. Bochkov, and F. Gibou, 2020, Solving elliptic interface problems with jump conditions on Cartesian grids, Journal of Computational Physics, 407.

D. Bochkov, and F. Gibou, 2020, PDE-Based Multidimensional Extrapolation of Scalar Fields over Interfaces with Kinks and High Curvatures, SIAM J. Sci. Comput., 42(4), A2344–A2359.

S. H. Bryngelson, T. Colonius, R. O. Fox, 2020, QBMMlib: A library of quadrature-based moment methods, SoftwareX, 12, 100615.

S. H. Bryngelson, A. Charalampopoulos, T. P. Sapsis, T. Colonius, 2020, A Gaussian moment method and its augmentation via LSTM neural networks for the statistics of cavitating bubble populations, International Journal of Multiphase Flow 127, 103262.

S. H. Bryngelson and T. Colonius, 2020, Simulation of humpback whale bubble-net feeding models, Journal of the Acoustical Society of America 147, 1126–1135.

J.R. Landel, F.J. Peaudecerf, F. Temprano-Coleto, F. Gibou, R.E. Goldstein, P. Luzzatto-Fegiz, 2020, A theory for the slip and drag of superhydrophobic surfaces with surfactant, Journal of Fluid Mechanics, 883, A18.

K. Schmidmayer, S. H. Bryngelson, and T. Colonius, 2020, An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics, Journal of Computational Physics 402, 109080.

R. Egan, F. Gibou, 2020, xGFM: Recovering Convergence of Fluxes in the Ghost Fluid Method, Journal of Computational Physics, 409.

T. Trummler, S. H. Bryngelson, K. Schmidmayer, S. J. Schmidt, N. A. Adams, T. Colonius, 2020, Near-surface dynamics of a gas bubble collapsing above a crevice. arXiv:1912.07022, Journal of Fluid Mechanics 899, A16.

N. Aksamit, T. Sapsis, G. Haller, 2020, Machine-learning ocean dynamics from Lagrangian drifter trajectories, Journal of Physical Oceanography, 50: 1179-1196.

M. Bappy, P. M. Carrica & G. C. Buscaglia, 2019 Lagrangian statistics of pressure fluctuation events in homogeneous isotropic turbulence, Physics of Fluids 31, 085111.

D. Bochkov & F. Gibou, 2019, Solving Poisson-Type Equations with Robin Boundary Conditions on Piecewise Smooth Interfaces, Journal of Computational Physics, 376.

S. H. Bryngelson, K. Schmidmayer, and T. Colonius, 2019, A quantitative comparison of phase-averaged models for bubbly, cavitating flows, International Journal of Multiphase Flow, 115, 137–143.

J. Chen, X. Bai, K. Mahesh & J. Siepmann, 2019, Molecular simulations probing the thermophysical properties of stretched homogeneous and bubbly water systems, Journal of Chemical & Engineering Data. DOI: 10.1021/acs.jced.9b00284

F. Gibou, D. Hyde, R. Fedkiw, 2019 Sharp interface approaches and deep learning techniques for multiphase flows, Journal of Computational Physics, 380, 442-463. 

M. Theillard, F. Gibou, and D. Saintillan, 2019, Sharp numerical simulation of incompressible two-phase flows, Journal of Computational Physics, 391.

V. Arias, D. Bochkov, & F. Gibou, 2018, Poisson equations in irregular domains with Robin boundary conditions — Solver with second-order accurate gradients, Journal of Computational Physics, 365, 1-6.

F. Gibou, R. Fedkiw, S. Osher, 2018, A review of level-set methods and some recent applications, Journal of Computational Physics, 353, 82-109.

F. Temprano-Coleto, F. Peaudecerf, J. Landel, F. Gibou, P. Luzzatto-Fegiz, 2018, Soap opera in the maze: Geometry matters in Marangoni flows, Physical Review Fluids 3 (10), 100507.

Z. Y. Wan, P. Vlachas, P. Koumoutsakos, T. Sapsis, 2018, Data-assisted reduced-order modeling of extreme events in complex dynamical systems, PLOS One, 24.

Z. Y. Wan, T. Sapsis, 2018, Machine learning the kinematics of spherical particles in fluid flows, Journal of Fluid Mechanics, 857, R2.

D. Knister, H. Ganesh, and S. Ceccio, 2022, Measurements of Pressure Drop Leading to Cavitation Inception During the Interaction of a Pair of Line Vortices, 34th Symposium of Naval Hydrodynamics, Washington D. C. , USA.

J. I. Siepmann, J. L. Prelesnik, J. L. Chen, M. Zhu & K. Mahesh, 2022, Effect of Surfactants on the Thermophysical Properties of Bubbly Water Systems and Bubble Collapse Dynamics Probed by Molecular Simulations, 34th Symposium on Naval Hydrodynamics, Washington DC, USA.

A. Charalampopoulos, F. Brandao, P. Kumar, K. Mahesh and T. Sapsis, 2022, Physics-constrained, data-informed closures for 3D turbulent flows over a back-step,  34th Symposium on Naval Hydrodynamics, Washington DC, USA.

F. Brandao, A. Madabhushi, A. Fakhreddine, K. Alame and K. Mahesh, 2022, Simulating cavitation over different scales and regimes, 34th Symposium on Naval Hydrodynamics, Washington DC, USA.

A. Madabhushi, K. Alame & K. Mahesh, 2022, A Nucleation Methodology And A Compressible Multiscale Model For Cavitation, 2022 Japan-U.S. Seminar on Two-Phase Flow Dynamics, Ann Arbor Michigan (virtual).

A. Madabhushi & K. Mahesh, 2022, A compressible hybrid model for cavitating flows, International Conference on Numerical Methods in Multiphase Flows 4, Venice, Italy.

K. Alame & K. Mahesh, 2022, A Gibbs Free Energy Approach to Nucleation with Gas Contaminants, NANOBUBBLE 2022: The International Conference on Nanobubbles, Nanodroplets and their Applications, Magdeburg, Germany.

S. H. Bryngelson, A. Charalampopoulos, T. P. Sapsis and T. Colonius Averaging Methods for Cavitating Bubbly Flows, 34th Symposium of Naval Hydrodynamics.

K. Agarwal, O. Ram, Y. Lu, and J. Katz, 2022, “On the Unsteady Pressure Field, Nuclei Dynamics and Cavitation Inception in a Turbulent Shear Layer,” 34 th Symposium on Naval Hydrodynamics, June 25-July 1, Washington, DC.

J. Li, P. M. Carrica and M. Bappy, 2022, Cavitation Modeling with Application to Backward Facing Step Flow, 34 th Symposium on Naval Hydrodynamics, Washington DC, USA.

P. M. Carrica, M. Bappy, J. Li, J. E. Martin, A. Vela-Martin, L. Freire, G. Buscaglia, 2022, Cavitation inception prediction using RANS and LES simulations, 34 th Symposium on Naval Hydrodynamics, Washington DC, USA.

Charalampopoulos, F. Brandao, P. Kumar, K. Mahesh and T. Sapsis, 2021, Machine learning non-local closures for 3D turbulent flows over a back-step, MMLDT-CSET 2021 Conference: Minisymposium on Reduced-order Modeling for Fluids, Solids, and Structures.

A. Fakhreddine, K. Alame and K. Mahesh, 2021, A volume-of-fluid (VOF) methodology for the prediction of cavitation phenomena, 11th International Symposium on Cavitation, Daejeon, Korea.

F. Brandao and K. Mahesh, 2021, LES of cavitating shear layer, 11th International Symposium on Cavitation, Daejeon, Korea.

M. Bhatt and K. Mahesh, 2021, Preconditioning and dual-time stepping based approach for the simulation of cavitating flows with low nuclei concentration using a fully-compressible solver, 11th International Symposium on Cavitation, Daejeon, Korea.

Bryngelson, S. H., Fox, R. and Colonius, T., 2021, Conditional moment method for fully-coupled phase-averaged cavitation models, 11th International Symposium on Cavitation. Daejeon, Korea.

S. H. Bryngelson and T. Colonius, 2021, A fast-integration-based model for polydisperse bubble cloud dynamics and their two-way-flow coupling, The 180th meeting of the Acoustical Society of America.

Madabushi & K. Mahesh, 2021, Development of a compressible multi-scale model for cavitating flows, APS DFD Meeting, Arizona, USA. 

F. Brandao & K. Mahesh, 2021, LES of cavitation inception in a shear layer, APS DFD Meeting, Arizona, USA.

A. Fakhreddine, K. Alame & K. Mahesh, 2021, A volume-of-fluid (VOF) methodology for the prediction of cavitation phenomena, APS DFD Meeting, Arizona, USA. 

K. Agarwal, O. Ram, Y. Lu, and J. Katz, 2021, Detecting Vortical Structures in Time-Resolved Volumetric Flow Fields, 14th International Symposium on Particle Image Velocimetry (ISPIV 2021) , Chicago, IL, (virtual conference) August 1-4.

K. Agarwal, O. Ram, Y. Lu, and J. Katz, 2021, Reynolds Number Effects on Pressure Fluctuations and Cavitation Inception in a Turbulent Shear Layer, 11th International Symposium on Cavitation, CAV2021, Daejeon, Korea (virtual conference), May 10-13.

O. Ram, K., Agarwal, and J. Katz, 2021, Sustained Attached Cavitation Inception from Residual Nuclei Generated During Collapse of Previous Events, 11th International Symposium on Cavitation, CAV2021, Daejeon, Korea (virtual conference), May 10-13.

Bryngelson, S. H., Fox, R., Colonius, T., 2020, Conditioned quadrature moment methods for cavitating bubble dispersions, American Physical Society.

Rodriguez, M., Bryngelson, S. H., Colonius, T., 2020, Cavitation bubble growth with phase transition near a rigid wall, American Physical Society.

F. Brandao & K. Mahesh, 2020, LES of cavitation inception behind a backstep, Bulletin of the American Physical Society, Chicago, USA.

A. Madabushi & K. Mahesh, 2020, Cavitation inception during vortex pair interaction, Bulletin of the American Physical Society, Chicago, USA.

M. Bhatt & K. Mahesh, 2020, An approach to address numerical stiffness in the simulation of cavitating flows, Bulletin of the American Physical Society, Chicago, USA.

K. Alame & K Mahesh, 2020, A narrowband variational level set methodology for predicting cavitating surface nucleation sites, Bulletin of the American Physical Society, Chicago, USA.

K. Agarwal, O. Ram, J. Wang, Y. Lu and J. Katz, 2020, Measuring the 3D pressure field and relating it to cavitation inception in a turbulent shear layer, 33rd Symposium of Naval Hydrodynamics, Osaka, Japan.

A. Bhatt, H. Ganesh, and S. Ceccio, 2020, Cavitation in the Wake of Backward Facing Step, 33rd Symposium of Naval Hydrodynamics, Osaka, Japan.

F. Brandao, A. Madabhushi, M. Bhatt & K. Mahesh, 2020, Large eddy simulation for the investigation of different regimes of cavitation. 33rd Symposium on Naval Hydrodynamics, Osaka, Japan.

S. H. Bryngelson and T. Colonius, 2020, Closure of phase-averaged bubbly, cavitating flow models, XXV International Conference of Theoretical and Applied Mechanics, Milano, Italy.

S. H. Bryngelson and T. Colonius, 2020, A fast-integration-based model for polydisperse bubble cloud dynamics and their two-way-flow coupling, Journal of the Acoustical Society of America.

S. H. Bryngelson, A. Charalampopoulos, T. P. Sapsis, and T. Colonius, 2020, Averaging methods for cavitating bubbly flows, 33rd Symposium of Naval Hydrodynamics, Osaka, Japan.

D. Knister, H. Ganesh and S. Ceccio, 2020, Averaging methods for cavitating bubbly flows,33rd Symposium of Naval Hydrodynamics, Osaka, Japan.

J. Li, and P. Carrica, 2020, Averaging methods for cavitating bubbly flows, 33rd Symposium on Naval Hydrodynamics, Osaka, Japan,

R. Ma, K. Alame, S. Anantharamu and K. Mahesh, 2020, Direct numerical simulation of realistic rough surfaces and energy minimization for the prediction of interfacial equilibrium position, 33rd Symposium on Naval Hydrodynamics, Osaka, Japan.

O. Ram, K. Agrawal, and J. Katz, 2020, Experimental Study of the Mechanisms Sustaining Attached Cavitation Inception, 33rd Symposium on Naval Hydrodynamics, Osaka, Japan

M. Rodriguez, S. H. Bryngelson, S. Cao, T. Colonius, 2020, A unified Eulerian multiphase framework for fluid-structure interaction problems including cavitation, XXV International Conference of Theoretical and Applied Mechanics, Milano, Italy.

J. I. Siepmann, J. L. Chen, B. Liang, K. Mahesh, 2020, Effect of Non-Condensable Gas on the Thermophysical Properties of Bubbly Water and on Bubble Collapse Dynamics Probed by Molecular Simulations, 33rd Symposium on Naval Hydrodynamics, Osaka, Japan

N. Aksamit, T. Sapsis, G. Haller, 2019, Machine Learning Ocean Dynamics with Lagrangian Ocean Drifters, SIAM Uncertainty Quantification.

Agrawal, K., Ram, O., Wang, J., Katz, J., “Three Dimensional Velocity and Pressure Measurements in a Turbulent Shear Layer Behind a Backward-Facing Step,” Abstract No. P11.00001, 72nd Annual Meeting of the APS Division of Fluid Dynamics, November 23–26, Seattle, WA.

K. Alamé, S. Anantharamu & K. Mahesh, 2019, A variational level set methodology without reinitialization for predicting equilibrium interfaces over arbitrary textured surfaces. Bulletin of the American Physical Society

M. Bhatt & K. Mahesh, 2019, Investigation of propeller cavitation using compressible large-eddy simulation, 6th International Symposium on Marine Propulsors (SMP19), Rome, Italy.

M. Bhatt & K Mahesh, 2019, Investigation of cavitation regimes using large eddy simulations. Bulletin of American Physical Society.

F. Brandao & K Mahesh, 2019, Investigation of cavitating flows using LES. Bulletin of American Physical Society.

S. H. Bryngelson & T. Colonius, 2019, A comparison of ensemble- and volume-averaged bubbly flow models, I nternational Conference on Multiphase Flow, Rio de Janeiro, Brazil.

S. H. Bryngelson and T. Colonius, 2019, Annular and spiral bubble nets: A simulation-focused analysis of humpback whale feeding strategies, Acoustical Society of America.

S. H. Bryngelson, A. Charalampopoulos, T. P. Sapsis, T. Colonius, 2019, Neural-network-augmented Gaussian moment method for the statistics of cavitating bubble populations, Bulletin of the American Physical Society.

Egan, Raphael, and Frederic Gibou, 2019, Balance of stresses across sharp interfaces in two-phase flow simulations. International Congress on Industrial and Applied Mathematics.

A. Fakhreddine, K. Alame & K Mahesh, 2019, A volume-of-fluid (VOF) methodology for the prediction of cavitation phenomena. Bulletin of American Physical Society.

H. Ganesh, A. Bhatt, L. Deijlen, J. Wu, and S. Ceccio, 2019, Effect of Compressibility on Cavitating Bubbly Flows, 10th International Conference on Multi-Phase Flows, Rio de Janeiro, Brazil.

A. Madabushi & K. Mahesh, 2019, Vortex pair interaction and cavitation inception. Bulletin of American Physical Society.

K. Mahesh, 2019, MURI: Predicting Turbulent Multi-Phase Flows with High Fidelity, OSD Annual MURI Program Review Meeting.

T. Sapsis, 2019, Machine learning the kinematics of bubbles from DNS data, NSWC Carderock.

K. Schmidmayer and T. Colonius, 2019, A comparative study on interface-capturing models and schemes to solve bubble dynamics and cavitation, International Conference on Multiphase Flow, Rio de Janeiro, Brazil.

F. Temprano-Coleto & F. Gibou, 2019, Parallel octree simulations of incompressible flows coupled with soluble surfactant, International Congress on Industrial and Applied Mathematics (ICIAM 2019), Valencia, Spain.

F. Temprano-Coleto & F. Gibou, 2019, Parallel octree simulations of incompressible flows coupled with soluble surfactant in a level-set framework, SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA.

K. Agarwal, O. Ram, & J. Katz, 2018, Cavitating structures at inception in turbulent shear flow, 10th International Symposium on Cavitation (CAV2018), Baltimore, Maryland, USA.

F. Brandao, M. Bhatt, & K. Mahesh, 2018, Effects of non-condensable gas on cavitating flow over a cylinder, 10th International Symposium on Cavitation (CAV2018), Baltimore, Maryland, USA.

M. Bhatt & K. Mahesh, 2018, Investigation of sheet to cloud transition due to the propagation of condensation fronts over a sharp wedge using large eddy simulations, 10th International Symposium on Cavitation (CAV2018), Baltimore, Maryland, USA.

S. H. Bryngelson and T. Colonius, 2018, Modeling approaches for bubbly, cavitating flows, Bulletin of the American Physical Society.

Egan, Raphael, and Frederic Gibou. 2018, The extended Ghost Fluid Method (xGFM): recovering convergence of the fluxes when solving Poisson equations with jump conditions. Bulletin of the American Physical Society.

Egan, Raphael, and Frederic Gibou. 2018, The extended Ghost Fluid Method (xGFM): recovering convergence of the fluxes when solving Poisson equations with jump conditions. Bulletin of the American Physical Society.

K. Maeda & T. Colonius, 2018, Numerical Simulation of the Bubble Cloud Dynamics in an Ultrasound Field, 10th International Symposium on Cavitation (CAV2018), Baltimore, USA.

K Schmidmayer, T Colonius, 2018, Simulation of the collapse of a vapor bubble near or attached to a rigid surface, Bulletin of the American Physical Society.