Cronin's Turing-complete chemputer for programmable chemical synthesis via XDL.
Scanned 9/6/2026
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---
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
<!-- XDL: Chemical Description Language -->
<Synthesis>
<Hardware>
<Reactor id="reactor1" volume="100 mL"/>
<Filter id="filter1"/>
<Separator id="sep1"/>
</Hardware>
<Procedure>
<Add reagent="A" vessel="reactor1" amount="10 mmol"/>
<Add reagent="B" vessel="reactor1" amount="12 mmol"/>
<HeatChill vessel="reactor1" temp="80 °C" time="2 h"/>
<Filter from="reactor1" to="filter1"/>
</Procedure>
</Synthesis>
```
```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)
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