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Achieving Operational Universality through a Turing Complete Chemputer.

Daniel Gahler1, Dean Thomas1, Slawomir Lach1

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Summary
This summary is machine-generated.

This study demonstrates Turing completeness in robotic chemistry platforms using the XDL programming language. This enables automated synthesis of complex molecules, advancing autonomous chemical research.

Keywords:
Turing completeTuring machineXDLautomationdigital chemistry

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Area of Science:

  • Computational Chemistry
  • Robotics
  • Chemical Synthesis

Background:

  • The Turing Machine is fundamental to modern computing, enabling any algorithmic task.
  • Programming chemical processes and ensuring abstract unit operations are challenging in chemistry.
  • Bridging computability in computers to synthesizability in automated chemical machines is a key goal.

Purpose of the Study:

  • To apply the concept of Turing completeness to robotic chemical platforms.
  • To develop a chemically aware programming language (XDL) for automated synthesis.
  • To establish a formal framework for future chemical programming languages.

Main Methods:

  • Exploiting Turing completeness in robotic platforms executing chemical unit operations.
  • Utilizing a chemically aware programming language, XDL.
  • Demonstrating Turing completeness via an interactive color gamut and conditional logic example.

Main Results:

  • Robotic chemical platforms were shown to be Turing complete.
  • The XDL programming language facilitates the synthesis of complex molecules.
  • An interactive demonstration served as a proxy for chemical space exploration.

Conclusions:

  • The developed framework enables correct expression and execution of complex logic in chemical programming.
  • This approach supports error correction in autonomous chemical synthesis.
  • It paves the way for the autonomous pursuit of increasingly complex molecules.