Talks, theses & papers on PySDM

Papers documenting PySDM developments and usage:

• 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]

Theses:

• 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]

Talks:

• 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]