BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//euroscipy-2026//speaker//9KSJ3K
BEGIN:VTIMEZONE
TZID:Poland
BEGIN:DAYLIGHT
DTSTART:20250720T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251026T030000
RDATE:20261025T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20260329T030000
RDATE:20270328T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Parallel Reactive Groundwater Transport Modeling - Mike Müller
DTSTART;TZID=Poland:20260720T093000
DTEND;TZID=Poland:20260720T100000
DTSTAMP:20260915T002429Z
UID:pretalx-euroscipy-2026-PXGC9R@pretalx.com
DESCRIPTION:Contaminated groundwater often carries multiple dissolved chem
 ical species that react with each other\, potentially causing mineral prec
 ipitation and altering subsurface flow properties. Simulating these couple
 d processes requires modeling groundwater flow\, multi-species solute tran
 sport\, and geochemical reactions simultaneously. This talk presents rtmf6
 \, a new open-source reactive transport model that couples MODFLOW 6 (grou
 ndwater flow and transport) with PHREEQC 3 (geochemical reactions) through
  the Python libraries pymf6 and PhreeqPy. A key design goal was paralleliz
 ation: species transport runs as independent parallel processes\, while ge
 ochemical computations use multi-threading. Benchmark results show good ag
 reement with the established model PHT3D\, while rtmf6 supports a substant
 ially broader range of applications by leveraging the full capabilities of
  MODFLOW 6.
LOCATION:Room 1.19 (Ground Floor\, Shannon)
URL:https://pretalx.com/euroscipy-2026/talk/PXGC9R/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Reproducible Dependency Management with Pixi - Mike Müller
DTSTART;TZID=Poland:20260722T090000
DTEND;TZID=Poland:20260722T103000
DTSTAMP:20260915T002429Z
UID:pretalx-euroscipy-2026-SVL9NV@pretalx.com
DESCRIPTION:Learn how to manage your conda- and pip-based Python dependenc
 ies with pixi. With its declarative approach\, pixi provides a reliable wa
 y for reproducible\nPython environments. Its design is based on experience
 s drawn from tools such as `pip`\, `conda` and `mamba` as well as Rust's `
 cargo`.
LOCATION:Room 1.19 (Ground Floor\, Shannon)
URL:https://pretalx.com/euroscipy-2026/talk/SVL9NV/
END:VEVENT
END:VCALENDAR