67 citations · 375 across the 47 of their papers we have counts for
9 papers · 1 filter
Integrating Odeint Time Stepping into OpenFPM for Distributed and GPU Accelerated Numerical Solvers
Abhinav Singh, Landfried Kraatz, Serhii Yaskovets +2
We present a software implementation integrating the time-integration library Odeint from Boost with the OpenFPM framework for scalable scientific computing. This enables compact a…
Learning locally dominant force balances in active particle systems
Dominik Sturm, Suryanarayana Maddu, Ivo F. Sbalzarini
We use a combination of unsupervised clustering and sparsity-promoting inference algorithms to learn locally dominant force balances that explain macroscopic pattern formation in s…
A high-order fully Lagrangian particle level-set method for dynamic surfaces
Lennart J. Schulze, Sachin K. T. Veettill, Ivo F. Sbalzarini
We present a fully Lagrangian particle level-set method based on high-order polynomial regression. This enables closest-point redistancing without requiring a regular Cartesian mes…
An open-source pipeline for solving continuous reaction-diffusion models in image-based geometries of porous media
Justina Stark, Ivo F. Sbalzarini
We present a versatile open-source pipeline for simulating inhomogeneous reaction-diffusion processes in highly resolved, image-based geometries of porous media with reactive bound…
On the Computational Power of Particle Methods
Johannes Pahlke, Ivo F. Sbalzarini
We investigate the computational power of particle methods, a well-established class of algorit hms with applications in scientific computing and computer simulation. The computati…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Entropically damped artificial compressibility for the discretization corrected particle strength exchange method in incompressible fluid mechanics
Abhinav Singh, Ivo F. Sbalzarini, Anas Obeidat
We present a consistent mesh-free numerical scheme for solving the incompressible Navier-Stokes equations. Our method is based on entropically damped artificial compressibility for…
Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems
Sarah Perez, Suryanarayana Maddu, Ivo F. Sbalzarini +1
In this paper, we present a novel methodology for automatic adaptive weighting of Bayesian Physics-Informed Neural Networks (BPINNs), and we demonstrate that this makes it possible…
Spontaneous flow instabilities of active polar fluids in three dimensions
Abhinav Singh, Quentin Vagne, Frank Jülicher +1
Active polar fluids exhibit spontaneous flow when sufficient active stress is generated by internal molecular mechanisms. This is also referred to as an active Fréedericksz transit…