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Talks, theses & papers on PySDM
Sylwester Arabas edited this page May 9, 2024
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- D'Aquino et al. 2023 (SoftwareX)
"PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework"
[doi] - Azimi et al. 2023 (essoar)
"Training warm-rain bulk microphysics schemes using super-droplet simulations"
[doi] - Arabas et al. 2023 (arXiv)
"Immersion freezing in particle-based aerosol-cloud microphysics: a probabilistic perspective on singular and time-dependent models"
[doi] [pdf] - de Jong et al. 2023 (GMD)
"Breakups are Complicated: An Efficient Representation of Collisional Breakup in the Superdroplet Method"
[doi]) [pdf] - de Jong et al. 2023 (JOSS)
"New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping"
[doi]) [pdf] - de Jong et al. 2022 (JAMES)
"Spanning the Gap From Bulk to Bin: A Novel Spectral Microphysics Method"
[doi] - Bieli et al. 2022 (JAMES)
"An Efficient Bayesian Approach to Learning Droplet Collision Kernels: Proof of Concept Using “Cloudy,” a New n‐Moment Bulk Microphysics Scheme" [doi] - Bartman et al. 2022 (JOSS)
"PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry"
[doi] [pdf] - Bartman & Arabas 2021 (LNCS, arXiv)
"On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM"
[doi] [pdf] [www]
- Oleksii Bulenok 2023 (MSc in Computer Science, Jagiellonian University)
"Monte-Carlo collisional breakup in PySDM: GPU support and validation against analytical solutions"
[pdf] [www] - Piotr Bartman 2020 (MSc in Computer Science, Jagiellonian University)
"PySDM v1.0: Pythonic particle-based cloud microphysics package"
[pdf] [www]
- Sylwester Arabas 2022 (Seminar at the School of Marine and Atmospheric Sciences, Stony Brook University, NY)
"PySDM: a novel Pythonic tool for modelling cloud microphysics"
[pdf] - Piotr Bartman & Sylwester Arabas 2021 (Jun 17, virtual, International Conference on Computational Science)
"On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM"
[pdf] - Sylwester Arabas 2021 (Jun 10, Computational Mathematics Seminar, UJ)
"Overview of PySDM and PyMPDATA: two new packages for numerically solving coagulation and transport problems in cloud physics and beyond"
[pdf] - Piotr Bartman & Sylwester Arabas 2021 (Mar. 22, virtual, Software Engineering Assembly, Improving Scientific Software, UCAR)
"Bridging Pythonicity with performance: Monte-Carlo on GPU case study using ThrustRTC and CURandRTC"
[pdf] [youtube] - Piotr Bartman 2020 (Oct. 30, virtual, Atmospheric Physics Seminar, University of Warsaw)
"PySDM: Pythonic particle-based cloud microphysics package"
[pdf] [www] - Piotr Bartman 2020 (May 4, virtual, EGU General Assembly)
"PySDM: Pythonic particle-based cloud microphysics package"
[pdf] [www] [doi] - Piotr Bartman 2020 (May 26, 6th ENES HPC Workshop)
"PySDM: Bridging performance and pythonicity with Numba, Pythran and ThrustRTC"
[pdf] - Sylwester Arabas 2019 (Aug 29, Yonsei University Colloquium, Seoul)
"Super-droplet simulations with libcloudph++ and PySDM"
[pdf] - Sylwester Arabas 2019 (Aug 23, University of Hyogo, Kobe)
"PySDM: exploring novel tools from the Python ecosystem for super-droplet simulation studies"
[pdf] [www]