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+---
+title: ZnVis: Python-based visualisation and rendering
+tags:
+  - Python
+  - Molecular Dynamics
+  - Particle Simulation
+  - Visualisation
+  - Rendering
+authors:
+  - name: Samuel Tovey
+    orcid: 0000-0001-9537-8361
+    corresponding: true # (This is how to denote the corresponding author)
+    affiliation: 1
+  - name: Paul Hohenberger
+    affiliation: 1
+  - name: Christoph Lohrmann
+    orcid: 0000-0002-9011-2975
+    affiliation: 1
+  - name: Jannik Drotleff
+    affiliation: 1
+  - name: Christian Holm
+    affiliation: 1
+affiliations:
+ - name: Institute for Computational Physics, University of Stuttgart, DE
+   index: 1
+date: 1st July 2024
+bibliography: paper.bib
+
+---
+
+# Summary
+
+Visualisation of complex particle interactions is essential in the design of novel materials, programming of robots, and general study of mechanical processes.
+While the majority of science is performed using the Python programming language, there is yet to be a suitable Python-interfaced visualisation tool that can handle large systems, interactive visualisation, and powerful rendering.
+ZnVis has been developed to address this gap in the community by interfacing between several lower-level packages including Open3D and Mitsuba.
+With ZnVis, users can perform complex simulations, interactively visualize their results, and then create high-definition, ray-traced renderings of frames or entire videos.
+While ZnVis has been developed alongside tools and simulations for reinforcement-learning controlled microrobots, we are confident that the easy-to-use interface and powerful capabilities can serve the community well.
+
+# Statement of need
+
+* No powerful Python visualiser
+* No powerful Python rendering
+
+* How do we address these
+
+# Key Features
+
+* Shapes
+* Vector Fields
+* Rendering with Mitsuba
+* Video creation
+
+# Examples
+
+* Simple spheres
+* Vector fields
+* Growing particle number
+* Capillary system
+
+# Acknowledgements
+
+# References