Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Barba, Lorena"'
Autor:
Chuang, Pi-Yueh, Barba, Lorena A.
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 equations (PDEs) and predicting the dynamics of physical systems. However, the
Externí odkaz:
http://arxiv.org/abs/2306.00230
Publikováno v:
Computing in Science & Engineering, vol. 24, no. 05, pp. 77-84, 2022
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 utilizes the resources of modern CPUs. This means support for parallel m
Externí odkaz:
http://arxiv.org/abs/2303.08394
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Autor:
Chuang, Pi-Yueh, Barba, Lorena A.
Though PINNs (physics-informed neural networks) are now deemed as a complement to traditional CFD (computational fluid dynamics) solvers rather than a replacement, their ability to solve the Navier-Stokes equations without given data is still of grea
Externí odkaz:
http://arxiv.org/abs/2205.14249
Autor:
Barba, Lorena A.
Reproducibility is inseparable from transparency, as sharing data, code and computational environment is a pre-requisite for being able to retrace the steps of producing the research results. Others have made the case that this artifact sharing shoul
Externí odkaz:
http://arxiv.org/abs/2204.12564
Autor:
Mesnard, Olivier, Barba, Lorena A.
This article reports on a full replication study in computational fluid dynamics, using an immersed boundary method to obtain the flow around a pitching and rolling elliptical wing. As in the original study, the computational experiments investigate
Externí odkaz:
http://arxiv.org/abs/2105.00775
Biomolecular electrostatics is key in protein function and the chemical processes affecting it. Implicit-solvent models via the Poisson-Boltzmann (PB) equation provide insights with less computational cost than atomistic models, making large-system s
Externí odkaz:
http://arxiv.org/abs/2103.01048
Autor:
Clementi, Natalia C., Barba, Lorena A.
Credibility building activities in computational research include verification and validation, reproducibility and replication, and uncertainty quantification. Though orthogonal to each other, they are related. This paper presents validation and repl
Externí odkaz:
http://arxiv.org/abs/2008.05414
Autor:
Barba, Lorena A.
Publikováno v:
Computing in Science & Engineering 22(4): 26-35 (2020)
Undergraduate programs in science and engineering include at least one course in basic programming, but seldom presented in a contextualized format, where computing is a tool for thinking and learning in the discipline. We have created a series of le
Externí odkaz:
http://arxiv.org/abs/2001.00228
Autor:
Mesnard, Olivier, Barba, Lorena A.
Publikováno v:
Computing in Science and Engineering, Vol. 22(1):102-116, 2019
In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an image of the application software
Externí odkaz:
http://arxiv.org/abs/1904.07981
Publikováno v:
Phys. Rev. E 100, 063305 (2019)
This work uses the long-wavelength limit to compute LSPR response of biosensors, expanding the open-source PyGBe code to compute the extinction cross-section of metallic nanoparticles in the presence of any target for sensing. The target molecule is
Externí odkaz:
http://arxiv.org/abs/1812.10722