The Lab


The Lab is located in the Mathematikon, at Heidelberg University (Level -1, Room 102). It was conceived as a welcoming discussion space and workspace with cutting-edge technology: powerful computers with high resolution monitors, two 3D printers, virtual reality equipment, a laser engraver, and more. It also offers a small library, a coffee area, and a presentation space.


The Lab is staffed by several student workers that can assist you and is open to the community during opening hours.

Open hours

  1. Wednesdays 14:00-16:00 (current staff: Thi and Ricardo)
  2. Fridays 14:00-16:00 (current staff: Valentina and Dia)

Available technology

Here is a non-exhaustive list of available technology:

  1. Four researh computers: two dual-boot Linux and Windows workstations, one Windows, and one Macintosh. All are equipped with multiple 4k monitors, and one computer is equipped with several GPUs for high performance, data-intensive, and graphically demanding computing.
  2. Two 3D printers: Ultimaker S5 Pro and Flashforge Creator 3v2
  3. A virtual reality set (Vive Focus 3)
  4. A laser engraver (Beambox)
  5. Two large TV monitors for presentations
  6. Portable devices and accessories

Books

Here are listed some nice books related to experimental mathematics and visualization. Some of them will be available at the Lab:

  1. Effective Computational Geometry for Curves and Surfaces (Mathematics and Visualization) by Jean-Daniel Boissonnat.
  2. Opt Art: From Mathematical Optimization to Visual Design by Robert Bosch (see talk at Google).
  3. Discrete Differential Geometry: An Applied Introduction by Keenan Crane. (link)
  4. Mathematics and Art: A Cultural History by Lynn Gamwell.
  5. Computational Drawing: From Foundational Exercises to Theories of Representation by Carl Lostritto.
  6. Math Art: Truth, Beauty, and Equations by Stephen Ornes.
  7. Lumen Naturae: visions of the abstract in art and mathematics by Matilde Marcolli.
  8. The Seduction of Curves: The Lines of Beauty That Connect Mathematics, Art, and the Nude by Allan McRobie.
  9. Generative Art: A Practical Guide Using Processing by Matt Pearson.
  10. Visualizing Mathematics with 3D Printing by Henry Segerman.