research
∙
05/31/2023
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
The recent surge of interest in physics-informed neural network (PINN) m...
share
research
∙
03/15/2023
PyExaFMM: an exercise in designing high-performance software with Python and Numba
Numba is a game-changing compiler for high-performance computing with Py...
research
∙
05/27/2022
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
The deep learning boom motivates researchers and practitioners of comput...
research
∙
04/26/2022
Defining the role of open source software in research reproducibility
Reproducibility is inseparable from transparency, as sharing data, code ...
research
∙
05/03/2021
[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates
This article reports on a full replication study in computational fluid ...
research
∙
03/01/2021
High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm
Biomolecular electrostatics is key in protein function and the chemical ...
research
∙
12/16/2019
Engineers Code: reusable open learning modules for engineering computations
Undergraduate programs in science and engineering include at least one c...
research
∙
04/16/2019
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics
In a new effort to make our research transparent and reproducible by oth...
research
∙
02/09/2018
Terminologies for Reproducible Research
Reproducible research---by its many names---has come to be regarded as a...
research
∙
07/07/2017