{"query": "Electrochemistry — the cell potential", "count": 20, "results": [{"id": "card_pchem_electrochemistry", "title": "Electrochemistry — the cell potential", "shelf": "codex", "surface": "secular", "snippet": "A redox reaction splits into two half-cells; the cell potential is E-cathode - E-anode. The Daniell cell (copper, zinc) gives 1.10 V (sealed) - the first practical battery. Redox is electrons moving, ", "authority_tier": "engine_derived", "source": "Narrow Highway — physical chemistry", "readable": false, "generated": false}, {"id": "card_theory_electrochemistry", "title": "Electrochemistry & the battery (Volta, Faraday, and stored charge)", "shelf": "theories", "surface": "secular", "snippet": "Electrochemistry & the battery (Volta, Faraday, and stored charge) — an engine domain that can touch it: chemistry. Calibration: seals — cell voltages, Faraday's laws of electrolysis and Nernst shifts", "authority_tier": "reference", "source": "The Theory Assay — calibrated, not judged (docs/THEORY_CATALOG.md)", "readable": false, "generated": false}, {"id": "card_bridge_master_nernst_potential", "title": "Master equation: V = (RT / zF) * ln(C_out / C_in)", "shelf": "bridges", "surface": "secular", "snippet": "a voltage from the log of a concentration ratio — the same equation in a battery and a neuron. ONE equation, 2 domains, connected by a change of variable: electrochemistry [the electrode potential of ", "authority_tier": "reference", "source": "The Bridges — cross-domain isomorphisms", "readable": false, "generated": false}, {"id": "card_bridge_form_logarithmic", "title": "Bridge: the logarithmic form across 18 domains", "shelf": "bridges", "surface": "secular", "snippet": "The canonical form logarithmic (y = k * log(x / x0)) is the SAME computation in 18 different domains — acoustics, astronomy, chemistry, computer_science, cybersecurity, ecology, economics, electrochem", "authority_tier": "reference", "source": "The Bridges — cross-domain isomorphisms", "readable": false, "generated": false}, {"id": "card_floor_the_mind", "title": "The mind — matter aware of itself", "shelf": "codex", "surface": "secular", "snippet": "The top rung of the emergence ladder: physics -> chemistry -> life -> mind. The neuron signals by electrochemistry (a Nernst voltage), the brain computes (networks, information), and it is metabolical", "authority_tier": "engine_derived", "source": "Narrow Highway — the mind", "readable": false, "generated": false}, {"id": "card_floor_physical_chemistry", "title": "Physical chemistry — rate, equilibrium, acid-base, redox", "shelf": "codex", "surface": "secular", "snippet": "Deeper in chemistry: the laws that make it predictive. Kinetics (how fast), equilibrium (the balance point, Delta G = -RT ln K), acid-base (pKa + pKb = 14), and electrochemistry (the cell potential). ", "authority_tier": "engine_derived", "source": "Narrow Highway — physical chemistry", "readable": false, "generated": false}, {"id": "card_calc_nernst", "title": "Nernst equation", "shelf": "calculations", "surface": "secular", "snippet": "Nernst equation — electrochemistry. Formula: E = E0 - (RT/nF) ln(Q). Canonical FORM: logarithmic (y = k * log(x / x0)) — a cell's voltage from the log of a concentration ratio. Same form, different do", "authority_tier": "reference", "source": "The Calculation Map — every calculation, mapped by form", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_17_4_the_nernst_equation_cf7f3322", "title": "17.4 The Nernst Equation — Chemistry", "shelf": "chemistry", "surface": "secular", "snippet": "17.4\n\nThe Nernst Equation\n\nLearning ObjectivesBy the end of this section, you will be able to:\n\nRelate cell potentials to free energy changes\n\nUse the Nernst equation to determine cell potentials at n", "authority_tier": "reference", "source": "OpenStax: Chemistry (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_atoms_first_16_4_the_nernst_equation_cf7f3322", "title": "16.4 The Nernst Equation — Chemistry: Atoms First", "shelf": "chemistry", "surface": "secular", "snippet": "16.4\n\nThe Nernst Equation\n\nLearning ObjectivesBy the end of this section, you will be able to:\n\nRelate cell potentials to free energy changes\n\nUse the Nernst equation to determine cell potentials at n", "authority_tier": "reference", "source": "OpenStax: Chemistry: Atoms First (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_instr_electrochemistry", "title": "Electrochemistry", "shelf": "codex", "surface": "secular", "snippet": "The Electrochemistry verifier (src/concordance/verifiers/electrochemistry.py). Builds on: The fine-structure scale (α). Found from the code's own imports, never invented; the module keeps the logic, t", "authority_tier": "engine_derived", "source": "verifier: electrochemistry", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_2e_introduction_7c92f9c8", "title": "Introduction — Chemistry 2e", "shelf": "chemistry", "surface": "secular", "snippet": "Figure\n17.1\n\nElectric vehicles are powered by batteries, devices that harness the energy of spontaneous redox reactions. (credit: modification of work by Robert Couse-Baker)\n\nChapter Outline\n\n17.1\n\nRe", "authority_tier": "reference", "source": "OpenStax: Chemistry 2e (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_atoms_first_2e_introduction_7c92f9c8", "title": "Introduction — Chemistry: Atoms First 2e", "shelf": "chemistry", "surface": "secular", "snippet": "Figure\n16.1\n\nElectric vehicles are powered by batteries, devices that harness the energy of spontaneous redox reactions. (credit: modification of work by Robert Couse-Baker)\n\nChapter Outline\n\n16.1\n\nRe", "authority_tier": "reference", "source": "OpenStax: Chemistry: Atoms First 2e (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_mind_the_neuron", "title": "The neuron — the membrane potential", "shelf": "codex", "surface": "secular", "snippet": "A nerve impulse is a wave of voltage across a membrane, set by ion gradients through the Nernst equation (61.5 mV per decade at body temperature, sealed). The resting potential and every action potent", "authority_tier": "engine_derived", "source": "Narrow Highway — the mind", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_introduction_fe7a0312", "title": "Introduction — Chemistry", "shelf": "chemistry", "surface": "secular", "snippet": "Figure\n17.1\n\nElectric vehicles contain batteries that can be recharged, thereby using electric energy to bring about a chemical change and vice versa. (credit: modification of work by Robert Couse-Bak", "authority_tier": "reference", "source": "OpenStax: Chemistry (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_atoms_first_introduction_fe7a0312", "title": "Introduction — Chemistry: Atoms First", "shelf": "chemistry", "surface": "secular", "snippet": "Figure\n16.1\n\nElectric vehicles contain batteries that can be recharged, thereby using electric energy to bring about a chemical change and vice versa. (credit: modification of work by Robert Couse-Bak", "authority_tier": "reference", "source": "OpenStax: Chemistry: Atoms First (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_theory_neuroscience", "title": "Neurons & the action potential (how a nerve carries a signal)", "shelf": "theories", "surface": "secular", "snippet": "Neurons & the action potential (how a nerve carries a signal) — an engine domain that can touch it: medicine. Calibration: seals — conduction velocities, membrane potentials and Nernst equilibria comp", "authority_tier": "reference", "source": "The Theory Assay — calibrated, not judged (docs/THEORY_CATALOG.md)", "readable": false, "generated": false}, {"id": "card_theory_cell_theory", "title": "Cell theory", "shelf": "theories", "surface": "secular", "snippet": "Cell theory — an engine domain that can touch it: biology. Calibration: map-only — a foundational empirical claim. All living things are made of cells; the cell is the basic unit of structure and func", "authority_tier": "reference", "source": "The Theory Assay — calibrated, not judged (docs/THEORY_CATALOG.md)", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_2e_17_3_electrode_and_cell_potentials_377d0ae5", "title": "17.3 Electrode and Cell Potentials — Chemistry 2e", "shelf": "chemistry", "surface": "secular", "snippet": "17.3\n\nElectrode and Cell Potentials\n\nLearning Objectives\nBy the end of this section, you will be able to:\n\nDescribe and relate the definitions of electrode and cell potentials\n\nInterpret electrode pot", "authority_tier": "reference", "source": "OpenStax: Chemistry 2e (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_src_openstax_chemistry_atoms_first_2e_16_3_electrode_and_cell_potentials_377d0ae5", "title": "16.3 Electrode and Cell Potentials — Chemistry: Atoms First 2e", "shelf": "chemistry", "surface": "secular", "snippet": "16.3\n\nElectrode and Cell Potentials\n\nLearning Objectives\nBy the end of this section, you will be able to:\n\nDescribe and relate the definitions of electrode and cell potentials\n\nInterpret electrode pot", "authority_tier": "reference", "source": "OpenStax: Chemistry: Atoms First 2e (CC-BY 4.0)", "readable": false, "generated": false}, {"id": "card_theory_honeycomb_conjecture", "title": "Optimal packing & the honeycomb conjecture (Hales)", "shelf": "theories", "surface": "secular", "snippet": "The hexagonal grid is the most efficient way to divide a surface into regions of equal area with the LEAST TOTAL PERIMETER. Stated by Pappus of Alexandria around 300 AD as an observation about bees, i", "authority_tier": "reference", "source": "The Theory Assay — calibrated, not judged (docs/THEORY_CATALOG.md)", "readable": false, "generated": false}], "house": {"door": "FIND", "kind": "cards", "trail": "results", "seal": null, "next_step": {"do": "open the top card", "door": "FIND", "tool": "card_get", "params": {"id": "card_pchem_electrochemistry"}}, "ends": "a verdict or a card · the trail · a seal · one next step"}}