13 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CE2023★ 13 cited
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
Pi-Yueh Chuang, Lorena A. Barba
The recent surge of interest in physics-informed neural network (PINN) methods has led to a wave of studies that attest to their potential for solving partial differential equation…
cs.SE2023★ 2 cited
PyExaFMM: an exercise in designing high-performance software with Python and Numba
Srinath Kailasa, Tingyu Wang, Lorena A. Barba +1
Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter and that fully ut…
cs.DC2015★ 9 cited
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE
Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…