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Materials Atlas / Scientific lab

Let the data speak.

From a specimen and its raw readings to an inspectable result. Explore the teaching controls, then bring your own measurements into a private study.

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Synthetic teaching control · not measured evidence

Arrhenius analysis

Apparent activation energy within a selected range and explicit σ or σT model; does not establish a transport mechanism.

Method and limitations reference ↗

An exact synthetic Arrhenius curve with 0.4 eV activation energy. Use the fit window to see which points are included.

Original CSV and mapping

Preview · 10 data rows · first 6 shown
temperatureconductivity
2750.00046710395940908935
3000.0019067587713797287
3250.006268968383998128
3500.017388154983461596
3750.04209559014158952
4000.09124767652584893
temperature
conductivity

Analysis assumptions

Calculated synthetic control

Result and interpretation

Apparent activation energy0.4 eVStandard uncertainty / error: 1.2127e-16 eV
● Supplied / transformed points— Fitted model
-6.262350.00222222-3.683570.00277778-1.104790.003333331/T (1/K)ln(σ / [S/m])-1.7764e-150.0022222200.002777781.7764e-150.003333331/T (1/K)Residual
  • Apparent activation energy within a selected range and explicit σ or σT model; does not establish a transport mechanism.
  • Unweighted ordinary least squares; independent constant-variance residuals; x treated as exact. Calibration, model and fit-range uncertainty are excluded.
  • A high R² does not establish mechanism or extrapolation validity.
Fit diagnostics, included rows and conversion record
{
  "details": {
    "fit": {
      "n": 7,
      "slope": -4641.807248620128,
      "intercept": 9.21034037197618,
      "slope_standard_error": 1.407265237274646e-12,
      "intercept_standard_error": 3.856799832176033e-15,
      "slope_intercept_covariance": -5.377970177339361e-27,
      "r_squared": 1,
      "residual_standard_deviation": 1.3759600911837627e-15,
      "rmse": 1.1628985254005945e-15,
      "degrees_of_freedom": 5,
      "points": [
        {
          "x": 0.0033333333333333335,
          "observed": -6.26235045675758,
          "fitted": -6.262350456757581,
          "residual": 0
        },
        {
          "x": 0.003076923076923077,
          "observed": -5.072143469931906,
          "fitted": -5.072143469931907,
          "residual": 1.7763568394002505e-15
        },
        {
          "x": 0.002857142857142857,
          "observed": -4.051966052652756,
          "fitted": -4.051966052652757,
          "residual": 1.7763568394002505e-15
        },
        {
          "x": 0.0026666666666666666,
          "observed": -3.1678122910108284,
          "fitted": -3.1678122910108275,
          "residual": -1.7763568394002505e-15
        },
        {
          "x": 0.0025,
          "observed": -2.3941777495741396,
          "fitted": -2.3941777495741405,
          "residual": 0
        },
        {
          "x": 0.002352941176470588,
          "observed": -1.7115590365417672,
          "fitted": -1.711559036541768,
          "residual": 0
        },
        {
          "x": 0.0022222222222222222,
          "observed": -1.1047868471796596,
          "fitted": -1.1047868471796605,
          "residual": 0
        }
      ],
      "uncertainty_assumptions": "Unweighted ordinary least squares; independent constant-variance residuals; x treated as exact. Calibration, model and fit-range uncertainty are excluded."
    },
    "selected_range": {
      "requested_min": 300,
      "requested_max": 450,
      "actual_min": 300,
      "actual_max": 450,
      "included_source_rows": [
        3,
        4,
        5,
        6,
        7,
        8,
        9
      ],
      "excluded_source_rows": [
        2,
        10,
        11
      ]
    }
  },
  "provenance": {
    "total_rows": 10,
    "dropped_rows": {
      "temperature+conductivity": []
    },
    "missing_policy": "reject",
    "conversions": {
      "temperature": {
        "input_unit": "K",
        "canonical_unit": "K"
      },
      "conductivity": {
        "input_unit": "S/m",
        "canonical_unit": "S/m"
      }
    }
  }
}
Lab · Materials Atlas | The Cognition Lab