Custom training · 1 day

One day to make Particleworks run itself

The workshop method in the morning. In the afternoon we build the scripts and automation for your own simulations, and they stay with you.

  • Length1 day
  • FormatYour team, your cases
  • You bringA local AI tool
Request this training See the day

Request this training

Tell us your team and cases. We reply with a proposal.

Mention “AI acceleration training” and your AI tool.

The day

Method in the morning, your automation in the afternoon

Morning · the workshop

What really can be done

  1. From script to agentpwpy, AI chat with the API in context, agents that run the machine.
  2. Gearbox, end to endChurning loss, HTC map, steady thermal model, each step gated.
  3. DoE on materials and post-processingRheology laws, wetting and force maps, automatic reports.
  4. Blender in the loopParticles to cinematic renders from the same pipeline.
  5. Complex workflows and checksTemperature-driven viscosity, per-particle history, and the insights that keep results honest.
Afternoon · your cases

Custom scripts and automation

  1. Bring a modelWe start from a case of yours and automate its set-up and runs.
  2. Build the post-processingThe outputs and the report your team actually needs.
  3. Add one extensionA scripted motion, a custom viscosity law, or a first SDK hook.
  4. Hand-overDocumented scripts that stay in-house.
From script to SDK

Four levels of control. Take as many as you need.

Each level builds on the one before. The last one changes what the software can do.

LEVEL 1

Your script

Rigid Python for pre and post-processing and DoE. Reproducible, and it runs overnight.

LEVEL 2

AI chat

Writes pwpy code with the API documents and examples in context.

LEVEL 3

AI agent

Claude Code or Codex runs the machine, folders and GPU jobs, iterates, remembers your best practices, and calls Blender or Paraview.

LEVEL 4

SDK

Hooks inside the solver: viscosity per particle, new physics that did not exist before.

What you leave with

Six working pieces, not slides

  • A gearbox thermal chain from churning run to temperatures
  • A materials DoE across Newtonian, Bingham and shear-thinning laws
  • An automatic report same format for every run
  • A Blender render pipeline particles to beauty frames
  • A scripted motion keyframes without clicking
  • A custom viscosity law up to an SDK hook in the solver
Simulated egg pour into a pan, rendered from Particleworks particles
The omelette: viscosity follows temperature, cooking history per particle, Blender render.
Two viscous sauces pouring onto stuffed pasta in a simulation render
Two fluids, one study definition: materials compared by script.
Requirements

Bring a laptop and an AI tool

An AI coding tool, installed locally

Claude Code Desktop (Anthropic), Codex (OpenAI), or any other AI tool on your own machine.

Particleworks, same machine

So every script is tested live, on your own installation.

No training data needed

Agents work like a junior engineer reading the documentation. Your data stays on your machine.

We reply with a proposal

Tell us your team and your cases.

Or write to info@particleworks-europe.com.

Request this training

Want a taste first? 45-minute live webinar, Thu 26 November 2026, 15:00 CET.

See the webinar