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07/27/2023
Learning locally dominant force balances in active particle systems
We use a combination of unsupervised clustering and sparsity-promoting i...
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06/09/2023
A high-order fully Lagrangian particle level-set method for dynamic surfaces
We present a fully Lagrangian particle level-set method based on high-or...
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04/20/2023
Computational Power of Particle Methods
The computational power of a compute model determines the class of probl...
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04/17/2023
An open-source pipeline for solving continuous reaction-diffusion models in image-based geometries of porous media
We present a versatile open-source pipeline for simulating inhomogeneous...
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12/22/2022
Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces
We present a computational scheme that derives a global polynomial level...
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12/01/2022
Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality
The CellxGene project has enabled access to single-cell data in the scie...
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06/29/2022
Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data
We present a content-adaptive generation and parallel compositing algori...
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06/17/2022
Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data
We present an efficient raycasting-based rendering algorithm for view-de...
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01/21/2022
Learning deterministic hydrodynamic equations from stochastic active particle dynamics
We present a principled data-driven strategy for learning deterministic ...
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12/07/2021
Parallel Discrete Convolutions on Adaptive Particle Representations of Images
We present data structures and algorithms for native implementations of ...
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05/12/2021
A Mathematical Definition of Particle Methods
We provide a formal definition for a class of algorithms known as "parti...
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01/15/2021
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
Numerical methods for approximately solving partial differential equatio...
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12/11/2020
Learning physically consistent mathematical models from data using group sparsity
We propose a statistical learning framework based on group-sparse regres...
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10/21/2020
Multivariate Interpolation on Unisolvent Nodes – Lifting the Curse of Dimensionality
We present generalizations of the classic Newton and Lagrange interpolat...
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09/30/2020
A robustness measure for singular point and index estimation in discretized orientation and vector fields
The identification of singular points or topological defects in discreti...
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05/01/2020
Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality
We present Bionic Tracking, a novel method for solving biological cell t...
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09/06/2019
A Proposed Framework for Interactive Virtual Reality In Situ Visualization of Parallel Numerical Simulations
As computer simulations progress to increasingly complex, non-linear, an...
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07/17/2019
Stability selection enables robust learning of partial differential equations from limited noisy data
We present a statistical learning framework for robust identification of...
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06/16/2019
scenery: Flexible Virtual Reality Visualization on the Java VM
Life science today involves computational analysis of a large amount and...
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06/16/2019
scenery -- Flexible Virtual Reality Visualisation on the Java VM
Life science today involves computational analysis of a large amount and...
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04/20/2018
OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers
Scalable and efficient numerical simulations continue to gain importance...
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03/31/2017
A Domain-Specific Language and Editor for Parallel Particle Methods
Domain-specific languages (DSLs) are of increasing importance in scienti...
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08/13/2014