Principia
BioMathematica
(Biomatics)

Perry Moncznik

Principia BioMathematica (Biomatics) Perry MoncznikPrincipia BioMathematica (Biomatics) Perry MoncznikPrincipia BioMathematica (Biomatics) Perry MoncznikPrincipia BioMathematica (Biomatics) Perry Moncznik
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  • 1.0 Biomatics
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  • Gallery
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  • Biomorphic Attractors

Principia
BioMathematica
(Biomatics)

Perry Moncznik

Principia BioMathematica (Biomatics) Perry MoncznikPrincipia BioMathematica (Biomatics) Perry MoncznikPrincipia BioMathematica (Biomatics) Perry Moncznik
  • Home
  • The Aha! Moment
  • Morphological Computation
  • 1.0 Biomatics
  • 1.1 Biomatics 101
  • 1.2 Smart Molecules
  • 1.3 Molecules Doing Math
  • 1.4 Biomatic Computation
  • Molecular Vibrations
  • Molecular Robotics
  • Numerical Methods
  • Orthonormal Bases
  • Series Methods
  • Vibrational Groups
  • Molecular Lie Groups
  • Biomatic Number Theory
  • Molecular Programming 101
  • The Amino Acid Code
  • The Histone Code
  • Microtubular Computation
  • Biomatic Engineering
  • Quantum Computation
  • Carbon Based Life Forms
  • Artificial Intelligence
  • Medical Biomatics
  • Finite State Cancer
  • Mitochondrial Proteins
  • Biomatics and Physics
  • The future of Biomatics
  • LLMs and Carbon chains
  • Recurrent Geometries
  • Neurotransmitters
  • Glial Cell Computation
  • Gallery
  • Biomatic Drug Profile
  • Biomorphic Attractors

Biomatic Attractors: The Geometry of Molecular State Spaces

 

Physical Manifestations of Molecular State Spaces — Biological Attractors Made Visible

These images explore the remarkable geometric and biomorphic structures that emerge from mathematical simulations of rotating carbon chains. Each original structure is generated by a specific sequence of bond rotations, producing intricate three-dimensional patterns that often resemble faces, anatomical features, and other forms found in nature. Selected structures are then transformed into visionary biomorphic artwork while seeking to preserve their underlying geometry. The simulations permit unrestricted bond rotations and intersections that would not necessarily be physically possible in living molecules. They therefore represent mathematical possibilities rather than actual biological structures. Together, these images illustrate a central idea of Biomatics: that relatively simple molecular state-space rules can generate extraordinary geometric complexity, symmetry, and biological resemblance—raising intriguing questions about the mathematical foundations of biological form.


The structures below (original followed by AI enhanced) have the same programs differing in the last 3 elements...labeled X,Y, and Z

0.001,0,0.001,2,3,0,1,2,0,3,2,0,2,1,0,2,3,0,2,1,0,3,2,0,3,2,0,1,0.001,X,Y,Z

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