--- name: turing-chemputer description: Cronin's Turing-complete chemputer for programmable chemical synthesis via XDL. source: local license: UNLICENSED --- # Turing Chemputer Skill: Programmable Chemical Synthesis **Status**: ✅ Production Ready **Trit**: 0 (ERGODIC - coordinator) **Color**: #26D826 (Green) **Principle**: Chemistry as computation **Frame**: XDL programs executed on modular hardware --- ## Overview **Turing Chemputer** coordinates chemical synthesis as program execution. Using XDL (Chemical Description Language), any synthesis protocol becomes an executable program on modular robotic hardware. 1. **XDL**: XML-based chemical programming language 2. **Chempiler**: Compile XDL to hardware instructions 3. **Modular hardware**: Reactors, filters, separators as primitives 4. **Turing completeness**: Loops, conditionals, recursion ## Core Framework ```xml ``` ```python def compile_xdl(xdl: str) -> HardwareInstructions: """Chempiler: XDL → executable hardware program.""" tree = parse_xdl(xdl) graph = build_synthesis_graph(tree) return optimize_and_schedule(graph) ``` ## Key Concepts ### 1. XDL Programming ```python class XDLProgram: def __init__(self): self.steps = [] def add(self, reagent: str, vessel: str, amount: str): self.steps.append(Add(reagent, vessel, amount)) def heat(self, vessel: str, temp: str, time: str): self.steps.append(HeatChill(vessel, temp, time)) def filter(self, from_vessel: str, to_vessel: str): self.steps.append(Filter(from_vessel, to_vessel)) def loop(self, times: int, body: list): """Turing-complete: iteration.""" self.steps.append(Loop(times, body)) def conditional(self, sensor: str, threshold: float, then: list, else_: list): """Turing-complete: branching.""" self.steps.append(Conditional(sensor, threshold, then, else_)) ``` ### 2. Hardware Abstraction ```python class Chemputer: def __init__(self, hardware_graph: nx.DiGraph): self.graph = hardware_graph self.state = ChemicalState() def execute(self, program: XDLProgram): """Execute XDL on hardware.""" for step in program.steps: self.validate_hardware(step) self.execute_step(step) self.update_state(step) def validate_hardware(self, step): """Check hardware connectivity and capacity.""" if not self.graph.has_path(step.source, step.target): raise HardwareError("No fluidic path") ``` ### 3. Synthesis Graph Optimization ```python def optimize_synthesis(xdl: XDLProgram) -> XDLProgram: """Optimize for time, yield, and hardware utilization.""" graph = to_dag(xdl) # Parallelize independent operations parallel = find_parallel_steps(graph) # Minimize transfers optimized = minimize_transfers(graph) # Schedule for hardware return schedule(optimized, hardware_constraints) ``` ## Commands ```bash # Compile XDL to hardware just chemputer-compile synthesis.xdl # Validate hardware graph just chemputer-validate hardware.json # Simulate synthesis just chemputer-simulate synthesis.xdl --dry-run # Execute on hardware just chemputer-execute synthesis.xdl --hardware lab1 ``` ## Integration with GF(3) Triads ``` assembly-index (-1) ⊗ turing-chemputer (0) ⊗ crn-topology (+1) = 0 ✓ [Molecular Complexity] kolmogorov-compression (-1) ⊗ turing-chemputer (0) ⊗ dna-origami (+1) = 0 ✓ [Self-Assembly] persistent-homology (-1) ⊗ turing-chemputer (0) ⊗ crn-topology (+1) = 0 ✓ [Topological CRN] ``` ## Related Skills - **assembly-index** (-1): Validate molecular complexity - **crn-topology** (+1): Generate reaction networks - **acsets** (0): Algebraic hardware graph representation --- **Skill Name**: turing-chemputer **Type**: Chemical Synthesis Coordinator **Trit**: 0 (ERGODIC) **Color**: #26D826 (Green)