2021-2022
View all publications as a chronological listWarning: Undefined variable $pubstring in /home/lj3i62g6dk4q/public_html/wp-content/themes/spruce-theme/page.php on line 26
Warning: Undefined array key "Book Chapter" in /home/lj3i62g6dk4q/public_html/wp-content/themes/spruce-theme/page.php on line 73
Warning: Undefined array key "Conference Presentation" in /home/lj3i62g6dk4q/public_html/wp-content/themes/spruce-theme/page.php on line 73
Warning: Undefined array key "Book" in /home/lj3i62g6dk4q/public_html/wp-content/themes/spruce-theme/page.php on line 73
Warning: Undefined array key "Technical Report" in /home/lj3i62g6dk4q/public_html/wp-content/themes/spruce-theme/page.php on line 73
All Publications
- "Inexact GMRES iterations and relaxation strategies with fast-multipole boundary element method", Tingyu Wang, Simon K. Layton, Lorena A. Barba. Advances in Computational Mathematics, 38:32 (2022). 10.1007/s10444-022-09932-8 // Preprint arXiv:1506.05957 // Code repository // Manuscript source files
Preprint v1: June 2015 (first submission); v2: Nov. 2016 (second submission); v3: July 2021 (third submission). Accepted: Feb. 2022. Published online: 10 May 2022.
- "PyExaFMM: an exercise in designing high-performance software with Python and Numba", Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke. Computing in Science and Engineering, 24(5):77-84 (2022). 10.1109/MCSE.2023.3258288 // Preprint arXiv:2303.08394
- "Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration", Pi-Yueh Chuang, Lorena A. Barba. Proceedings of the 21st Python in Science Conference (SciPy 202) (July 2022), Austin, TX. 10.25080/majora-212e5952-005 // Preprint arXiv:2205.14249 // Abstract and link to PDF
- "Experience Report of Physics-Informed Neural Networks in Fluid Simulations: Pitfalls and Frustration", Pi-Yueh Chuang, Lorena A. Barba. 21st Python in Science Conference (SciPy 2022) (July 2022), Austin, TX. 10.6084/m9.figshare.21432810.v2
- "Reproducible validation and replication studies in nanoscale physics", Natalia C. Clementi, Lorena A. Barba. Philosophical Transactions of the Royal Society A, 379(2197):20200068 (March 2021). 10.1098/rsta.2020.0068 // Preprint arXiv:2008.05414 // manuscript repository
Published online 29/03/2021. Published in print 17/05/2021.
- "Trustworthy computational evidence through transparency and reproducibility", Lorena A. Barba. Computing in Science and Engineering, 23(1):58-64 (Jan/Feb 2021), IEEE Computer Society. 10.1109/MCSE.2020.3048406 // Preprint on Authorea.
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (March 2021). Preprint arXiv:2103.01048 // manuscript repository // archive: meshes and pqr files // archive: manuscript and repro-pack
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (meshes and pqr files)", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (2021). 10.5281/zenodo.4568768
Reproducibility package.
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (manuscript and repro-pack)", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (2021). 10.5281/zenodo.4568951
Archive of the manuscript GitHub repository, upon submission of the paper.
- "ExaFMM: a high-performance fast multipole method library with C++ and Python interfaces", Tingyu Wang, Rio Yokota, Lorena A. Barba. The Journal of Open Source Software, 6(61):3145 (2021). 10.21105/joss.03145 // code repository
- "geoclaw-landspill: an oil land-spill and overland flow simulator for pipeline rupture events", Pi-Yueh Chuang, Tracy Thorleifson, Lorena A. Barba. The Journal of Open Source Software, 6(62):3114 (June 2021). 10.21105/joss.03114 // code repository
- "[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates", Olivier Mesnard, Lorena A. Barba. ReScience C, 7(1):7 (August 2021). 10.5281/zenodo.5234931 // Preprint arXiv:2105.00775 // code and data // manuscript repository
Open access. © The authors, CC-BY 4.0.
- "The Python/Jupyter Ecosystem: Today’s Problem-Solving Environment for Computational Science", Lorena A. Barba. Computing in Science and Engineering, 23(3):5-9 (May/June 2021), IEEE Computer Society. 10.1109/MCSE.2021.3074693 // Preprint in Authorea
- "Scientific Computing With Python on High-Performance Heterogeneous Systems", Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin Thomas. Computing in Science & Engineering, 23(4):5–7 (July/August 2021), IEEE Computer Society. 10.1109/MCSE.2021.3088549
Refereed Journal Articles
- "Inexact GMRES iterations and relaxation strategies with fast-multipole boundary element method", Tingyu Wang, Simon K. Layton, Lorena A. Barba. Advances in Computational Mathematics, 38:32 (2022). 10.1007/s10444-022-09932-8 // Preprint arXiv:1506.05957 // Code repository // Manuscript source files
Preprint v1: June 2015 (first submission); v2: Nov. 2016 (second submission); v3: July 2021 (third submission). Accepted: Feb. 2022. Published online: 10 May 2022.
- "PyExaFMM: an exercise in designing high-performance software with Python and Numba", Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke. Computing in Science and Engineering, 24(5):77-84 (2022). 10.1109/MCSE.2023.3258288 // Preprint arXiv:2303.08394
- "Reproducible validation and replication studies in nanoscale physics", Natalia C. Clementi, Lorena A. Barba. Philosophical Transactions of the Royal Society A, 379(2197):20200068 (March 2021). 10.1098/rsta.2020.0068 // Preprint arXiv:2008.05414 // manuscript repository
Published online 29/03/2021. Published in print 17/05/2021.
- "ExaFMM: a high-performance fast multipole method library with C++ and Python interfaces", Tingyu Wang, Rio Yokota, Lorena A. Barba. The Journal of Open Source Software, 6(61):3145 (2021). 10.21105/joss.03145 // code repository
- "geoclaw-landspill: an oil land-spill and overland flow simulator for pipeline rupture events", Pi-Yueh Chuang, Tracy Thorleifson, Lorena A. Barba. The Journal of Open Source Software, 6(62):3114 (June 2021). 10.21105/joss.03114 // code repository
- "[Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates", Olivier Mesnard, Lorena A. Barba. ReScience C, 7(1):7 (August 2021). 10.5281/zenodo.5234931 // Preprint arXiv:2105.00775 // code and data // manuscript repository
Open access. © The authors, CC-BY 4.0.
Refereed Conference Papers
- "Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration", Pi-Yueh Chuang, Lorena A. Barba. Proceedings of the 21st Python in Science Conference (SciPy 202) (July 2022), Austin, TX. 10.25080/majora-212e5952-005 // Preprint arXiv:2205.14249 // Abstract and link to PDF
Open Research
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (March 2021). Preprint arXiv:2103.01048 // manuscript repository // archive: meshes and pqr files // archive: manuscript and repro-pack
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (meshes and pqr files)", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (2021). 10.5281/zenodo.4568768
Reproducibility package.
- "High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (manuscript and repro-pack)", Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba. (2021). 10.5281/zenodo.4568951
Archive of the manuscript GitHub repository, upon submission of the paper.
Posters
- "Experience Report of Physics-Informed Neural Networks in Fluid Simulations: Pitfalls and Frustration", Pi-Yueh Chuang, Lorena A. Barba. 21st Python in Science Conference (SciPy 2022) (July 2022), Austin, TX. 10.6084/m9.figshare.21432810.v2
Periodicals
- "Trustworthy computational evidence through transparency and reproducibility", Lorena A. Barba. Computing in Science and Engineering, 23(1):58-64 (Jan/Feb 2021), IEEE Computer Society. 10.1109/MCSE.2020.3048406 // Preprint on Authorea.
- "The Python/Jupyter Ecosystem: Today’s Problem-Solving Environment for Computational Science", Lorena A. Barba. Computing in Science and Engineering, 23(3):5-9 (May/June 2021), IEEE Computer Society. 10.1109/MCSE.2021.3074693 // Preprint in Authorea
- "Scientific Computing With Python on High-Performance Heterogeneous Systems", Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin Thomas. Computing in Science & Engineering, 23(4):5–7 (July/August 2021), IEEE Computer Society. 10.1109/MCSE.2021.3088549