L1 ⚛ L1-301 ⊙ Testnet

Combustion Chemistry and Ignition Kinetics

Computational Chemistry · Detailed reaction mechanism

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⬇ principle.md ⬇ principle.json

Fork L1-301

⬇ L1-301.md ⬇ L1-301.json

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You are helping me submit a MODIFICATION of L1-301 (Combustion Chemistry and Ignition Kinetics) to the PWM Protocol — a Principle (L1) artifact.

I will paste a Markdown template (or the current L1-301.md).
1. Rewrite the Markdown so the science is correct and clearly explained for my change.
2. Regenerate the sibling L1-301.json so EVERY field matches the Markdown.
3. Keep the schema in the "File Mapping" footer at the bottom of the MD.
4. Keep the parent reference unchanged unless I ask otherwise.
Rules: the Markdown is the source of truth; use SI units; do NOT invent benchmark scores.
Output each file in its own fenced code block tagged with the filename.

Here is my template:
[PASTE THE .md HERE]

⚙ Forward Model

y = `O.ignition_delay` `D.time.implicit` `E.energy_balance` `E.detailed_mechanism` x + n,    n ~ 𝒩(0, σ²)

world state x (species temperature trajectory)

→

E · detailed mechanism `E.detailed_mechanism`

→

E · energy balance `E.energy_balance`

→

D · time · implicit `D.time.implicit`

→

O · ignition delay `O.ignition_delay`

→

observation y (none detector)

Noise: additive Gaussian noise

Markdown — human-readable source of truth

⚙ auto-generated

⬇ L1-301.md

# ⚛ L1 Principle — Combustion Chemistry and Ignition Kinetics **ID:** `L1-301` · **Status:** ⊙ Testnet (genesis catalog) > **🌐 Domain:** Computational Chemistry — *Detailed reaction mechanism* > **🎯 Problem class:** nonlinear inverse · **🧮 Solution space:** species temperature trajectory > **📡 Carrier:** none · **🌫 Noise:** gaussian > **⚖ Difficulty (δ):** 5 · **⛓ Block:** 41554114 --- ## 🧠 1. Introduction **Combustion Chemistry and Ignition Kinetics** is a **nonlinear inverse problem** whose unknown lives in **species temperature trajectory** space, within the **Detailed reaction mechanism** sub-domain of **Computational Chemistry**. Measurements consist of none via a **flame diagnostics** sensing mechanism. The forward operator applies, in order: E · detailed mechanism operator; E · energy balance operator; D · time · implicit operator; O · ignition delay operator. Observations are corrupted by additive Gaussian noise. Well-posed; inversion of rate constants from ignition-delay + flame-speed is under-constrained. ## ⚙ 2. Forward Model Physical chain: **x** → E · detailed mechanism → E · energy balance → D · time · implicit → O · ignition delay → **y** (detector). ``` y = `O.ignition_delay` `D.time.implicit` `E.energy_balance` `E.detailed_mechanism` x + n, n ~ 𝒩(0, σ²) ``` **Measurement DAG:** | Primitive | What it does | |---|---| | `E.detailed_mechanism` | E · detailed mechanism operator | | `E.energy_balance` | E · energy balance operator | | `D.time.implicit` | D · time · implicit operator | | `O.ignition_delay` | O · ignition delay operator | ## 🔬 3. Physics Fingerprint | Property | Value | |---|---| | Domain | Computational Chemistry | | Sub domain | Detailed reaction mechanism | | Carrier | none | | Problem class | nonlinear_inverse | | Solution space | species_temperature_trajectory | | Noise model | gaussian | | Integration axis | time | | Difficulty delta | 5 | | L dag | 3.5 | ## 📡 4. Measurement Model Well-posed; inversion of rate constants from ignition-delay + flame-speed is under-constrained. | Metric | Value | |---|---| | Metric | ignition_delay_log_error | | Secondary | flame_speed_cm_s_error | ## 📏 5. Operating Range (Ω) **Center problem class:** `combustion_chemistry` · **Forward operator:** `combustion_mech_forward` **Center point:** | Parameter | Unit | Value | |---|---|---| | T k | — | 1200 | | P atm | — | 1 | | N species | — | 50 | | Phi equiv | — | 1 | | N reactions | — | 300 | **Allowed bounds:** | Parameter | Unit | Range | |---|---|---| | T k | — | 500 – 3000 | | P atm | — | 0.1 – 100 | | N species | — | 10 – 3000 | | Phi equiv | — | 0.3 – 3.0 | | N reactions | — | 30 – 30000 | ## 🎯 6. Tolerance (ε) **Center tolerance:** log10(tau_ign) <= 0.1 | Metric | Range | |---|---| | Ignition delay log error | 0.05 – 1.5 | ## ⚖ 7. Hardness Function Hardness scales as **`epsilon_fn`** on **ignition_delay_log_error**, with κ = `400` and δ = `5`. ## 💾 8. Reference Dataset - **primary** · weight 1.0 · IPFS _(not pinned yet)_ ## 9. On-chain Registration - **Chain hash:** `0x575830f5700098cf3db597e1aac0b8817fcd91b549d8e8845d228f8ed72e745a` - **Chain tx hash:** `0x21e1863d6af76848a410357d9ee09f52ffc303d47555a2be7ceabf7e9a86998e` - **Chain block:** `41554114` --- ## File Mapping This bundle consists of: `L1-301.md`, `L1-301.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L1-301.md` | Source of truth — edit this | Human or LLM | | `L1-301.json` | Structured metadata for the registry | LLM regenerates from the sections above | **Prompt for your LLM after editing this Markdown:** > Read the attached Markdown. Regenerate the sibling `.json` so every field matches. > Preserve the schema documented in the rows above. > Output each file in its own fenced code block tagged with the filename. > Output only the JSON object. _This Markdown was auto-synthesized from the catalog row for `L1-301`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

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L2-301-001 Combustion Chemistry and Ignition Kinetics Mismatch-Only Spec

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📋 JSON metadata

{
  "artifact_id": "L1-301",
  "chain_block": 41554114,
  "chain_hash": "0x575830f5700098cf3db597e1aac0b8817fcd91b549d8e8845d228f8ed72e745a",
  "chain_tx_hash": "0x21e1863d6af76848a410357d9ee09f52ffc303d47555a2be7ceabf7e9a86998e",
  "domain": "Computational Chemistry",
  "hardness_fn": {
    "delta": 5,
    "kappa": 400,
    "metric": "ignition_delay_log_error",
    "type": "epsilon_fn"
  },
  "initiator_dataset": [
    {
      "ipfs_cid": null,
      "license_hash": null,
      "name": "primary",
      "weight": 1.0
    }
  ],
  "layer": "L1",
  "observable_profile": {
    "metric": "ignition_delay_log_error",
    "regime": "Well-posed; inversion of rate constants from ignition-delay + flame-speed is under-constrained.",
    "secondary": "flame_speed_cm_s_error"
  },
  "physics_fingerprint": {
    "L_DAG": 3.5,
    "carrier": "none",
    "difficulty_delta": 5,
    "domain": "Computational Chemistry",
    "integration_axis": "time",
    "noise_model": "gaussian",
    "primitives": [
      "E.detailed_mechanism",
      "E.energy_balance",
      "D.time.implicit",
      "O.ignition_delay"
    ],
    "problem_class": "nonlinear_inverse",
    "sensing_mechanism": "flame_diagnostics",
    "solution_space": "species_temperature_trajectory",
    "sub_domain": "Detailed reaction mechanism",
    "title": "Combustion Chemistry and Ignition Kinetics"
  },
  "size_tiers": {
    "allowed_forward_operators": [
      "combustion_mech_forward"
    ],
    "allowed_omega_dimensions": [
      "N_species",
      "N_reactions",
      "T_K",
      "P_atm",
      "phi_equiv"
    ],
    "allowed_problem_classes": [
      "combustion_chemistry"
    ],
    "center_spec": {
      "epsilon_fn_center": "log10(tau_ign) \u003c= 0.1",
      "forward_operator": "combustion_mech_forward",
      "input_format": "measurement_only",
      "omega": {
        "N_reactions": 300,
        "N_species": 50,
        "P_atm": 1,
        "T_K": 1200,
        "phi_equiv": 1.0
      },
      "problem_class": "combustion_chemistry"
    },
    "epsilon_bounds": {
      "ignition_delay_log_error": [
        0.05,
        1.5
      ]
    },
    "omega_bounds": {
      "N_reactions": [
        30,
        30000
      ],
      "N_species": [
        10,
        3000
      ],
      "P_atm": [
        0.1,
        100
      ],
      "T_K": [
        500,
        3000
      ],
      "phi_equiv": [
        0.3,
        3.0
      ]
    }
  },
  "staked_pwm": 0.0,
  "status": "testnet",
  "sub_domain": "Detailed reaction mechanism",
  "title": "Combustion Chemistry and Ignition Kinetics"
}

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