eXperimental Organic Intelligent Additive Manufacturing

Pioneering the next generation of materials and fabrication by integrating aerospace engineering, computer science, and astrophysics.

The XOIAM Framework

A New Paradigm in Fabrication

XOIAM is built on four interconnected pillars that challenge the boundaries of modern manufacturing.

eXperimental

Pushing beyond known limits through rigorous research, hypothesis testing, and iterative prototyping in novel material science.

Organic

Leveraging bio-inspired design and materials. Exploring self-healing, adaptive, and sustainable properties found in natural systems.

Intelligent

Embedding AI, machine learning, and sensor feedback directly into the manufacturing process for real-time adaptation and quality control.

Additive Manufacturing

Utilizing advanced 3D printing technologies as the foundation for fabricating complex structures, from micro-electronics to large-scale systems.

Research & Application

XOIAM's methodology is being applied to solve complex challenges across multiple domains, drawing from a unique multidisciplinary foundation.

  • Advanced avionics and aerospace components.
  • Intelligent sensor arrays for astrophysical observation.
  • Bio-organic computational substrates.

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About the Author

PGH

Mx Pamela Georgie Hauff

Founder & Lead Researcher, XOIAM

Credentials

  • BSci Electrical/Electronic Avionics/Aerospace Engineering
  • BSci Computer Science
  • Grad Dip Professional Computing
  • Grad Cert in Astrophysics

Key Projects & Research

Progen3D

A flagship project available at progen3d.com, this is a sophisticated C++ framework for the procedural generation of complex 3D scenes. It utilizes grammar-based approaches like L-systems to create intricate, organic, and rule-defined structures. This research is a direct manifestation of the 'Intelligent' pillar of XOIAM, exploring how computational logic can define and generate physical forms for advanced additive manufacturing.

HexPlanet & The Up-Vector Solution

In her 'hexplanet' repository, Mx Hauff tackles a subtle but critical challenge in procedural planetary generation: determining a consistent 'up' vector at any point on a sphere. On a flat plane, 'up' is a simple constant, but on a sphere, it's a constantly changing direction that points away from the center. Failing to solve this correctly leads to common visual errors like texture warping at the poles and incorrect object orientation. This is a problem often unrealized by non-specialists, and robust solutions are rarely implemented without deep expertise in computational geometry. Her work provides an elegant and mathematically sound solution, demonstrating a level of mastery essential for the ambitious goals of XOIAM.

Foundations in 3D Graphics & Algorithms

Her public portfolio further includes from-scratch implementations of a Ray Tracer, a 3D version of Conway's Game of Life, and numerous solutions to algorithmic challenges (e.g., Advent of Code). This body of work showcases a consistent passion for and expertise in 3D graphics, simulation, computational geometry, and high-performance C++ development, all of which form the technical bedrock for the XOIAM initiative.