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  "slug": "clean-fuel-chemistry-computed-first",
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  "angle": "Clean-fuel chemistry — ammonia, electrolysis membranes, catalyst screening — is being designed in simulation before it is built",
  "headline": "Clean-fuel chemistry is now designed in simulation before anything gets built",
  "dek": "An ammonia combustion model, a non-fluorinated electrolyser membrane, a condition-first screening tool and an autonomous lab show the clean-fuel stack being assembled in simulation.",
  "published_at": "2026-11-11T12:37:46Z",
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    "trust_text": "Reported · 4 Manifests",
    "newsroom": "Research & Science"
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  "publishers": [
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      "text": "An optimised ammonia combustion model improved agreement with experiments in 71% of individual datasets tested.",
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      "text": "The HCz-Hex membrane conducted hydroxide at 178 mS/cm at 80°C and retained 91% of ion-exchange capacity after 1,000 hours in 1M KOH at 80°C.",
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      "text": "The Reverse Pourbaix Explorer screens materials by operating conditions — pH and electrochemical potential — rather than by material first.",
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      "text": "Agent-led selection in the maLLaMar autonomous lab raised hour-long oscillation success to 64% in the Belousov-Zhabotinsky reaction.",
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      "text": "Mean oscillation periods in the autonomous-lab tests were 4.7 times shorter than literature-reported formulations.",
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    {
      "heading": "Designed before it is built",
      "paragraphs": [
        {
          "markdown": "The clean-fuel hardware stack — ammonia combustion, hydrogen electrolysis, carbon capture — is increasingly designed on a computer before anything is built, and four preprints show how far that shift has gone. One team rebuilt the kinetic model for ammonia combustion using Bayesian inference and neural-network surrogates, drawing on direct rate measurements and a large body of indirect combustion measurements. The resulting model, now integrated into the C3MechV4.2.0 mechanism, improved agreement with experimental data in 71% of the individual datasets tested, and the surrogate approach cut mean curve error by 60% relative to independent networks.",
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          "markdown": "A second preprint takes the same design-first approach to the membrane at the heart of an alkaline electrolyser. The researchers built a series of ether-free, aryl-expanded carbazole anion-exchange membranes that use no fluorinated polymers, and the best variant, HCz-Hex, conducted hydroxide ions at 178 millisiemens per centimetre at 80°C and kept 91% of its ion-exchange capacity after 1,000 hours in 1M potassium hydroxide at 80°C. Paired with a SPEEK bipolar membrane it reached 1.0 ampere per square centimetre at 2.03 volts. Fluorinated polymers have been a durability and sustainability headache for electrolysers; this is a concrete, tested alternative rather than a promise.",
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    {
      "heading": "Screening and the autonomous lab",
      "paragraphs": [
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          "markdown": "Two more preprints supply the screening and optimisation layer. The Reverse Pourbaix Explorer, a tool now integrated into the Materials Project, flips aqueous stability analysis around: instead of asking whether a given material survives, it starts from the operating conditions — pH and electrochemical potential — and returns the structures stable under them, cross-referenced with Open Catalyst Project data so stability and catalytic activity can be screened together. The authors say it reduces large materials databases to tractable candidate sets for acidic oxygen evolution and carbon dioxide reduction.",
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          "markdown": "The fourth preprint, from an autonomous-lab team, pairs Bayesian optimisation with a language-model agent that reasons about the experiment. Tested on the Belousov-Zhabotinsky reaction, the combined system — called maLLaMar — found more near-optimal conditions than either method alone, and agent-led selection lifted the success rate for hour-long oscillations to 64%, with mean oscillation periods 4.7 times shorter than formulations reported in the literature. The reaction itself is a test case; the framework is the point, and the authors present it as a template for autonomous chemical research.",
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    {
      "heading": "What to make of it",
      "paragraphs": [
        {
          "markdown": "Read together, the four papers describe a pipeline rather than four separate results: models that predict how fuels burn, membranes that survive the conditions, screening tools that narrow the search, and autonomous labs that run the optimisation. Each step is still a preprint, and the ammonia work is candid that nitrogen-hydrogen chemistry remains a priority for future measurements — the model knows where it is uncertain. That candour is part of the value: a kinetic model that names its weak spots is more useful than one that hides them.",
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          "markdown": "The practical question for anyone building in hydrogen or ammonia is which of these layers to trust first. The membranes carry the hardest numbers — conductivity, durability over 1,000 hours, current density — because they are measurements of a built thing, not predictions. The kinetic model and the screening tool are infrastructure: they make the next experiment cheaper rather than replacing it. And the autonomous lab is the furthest from deployment but the most general — if it works on one oscillating reaction, the same loop applies to the next formulation problem. The stack is being assembled in simulation; the testing still happens in glassware.",
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  "unresolved": [
    "Whether the ammonia model's remaining uncertainties in NH2 decomposition, H2NO chemistry and N2Hx pathways can be closed with new measurements",
    "Whether non-fluorinated carbazole membranes scale beyond laboratory testing",
    "Whether autonomous-lab gains transfer from a test reaction to industrial formulation problems"
  ],
  "decision_card": {
    "useful_for": [
      "Hydrogen and ammonia teams choosing modelling and screening tools",
      "Electrolyser developers tracking non-fluorinated membrane options",
      "Lab-automation teams evaluating autonomous optimisation frameworks"
    ],
    "not_for": [
      "Production deployment decisions — all four results are preprints, not peer-reviewed"
    ],
    "compare_against": [
      "Fluorinated anion-exchange membranes",
      "Existing ammonia kinetic mechanisms",
      "Manual formulation optimisation in the lab"
    ]
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      "title": "Ammonia combustion kinetic model optimization using elementary rate coefficient and global combustion data",
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      "published_date": "2026-11-11"
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      "title": "Molecular Design of Non-Fluorinated Aryl-Extended Carbazole-Based Polymeric Membranes for Anion Exchange and Bipolar Membrane Water Electrolysis",
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