Examples
Examples
Try the starting example
- Reaction times
- 0,1,2,3
- Positive reactant concentrations
- 1,0.8,0.64,0.512
- Reaction order: 0 zero; 1 first; 2 second
- 1
- Fitted rate constant
- 0.223144
- Transformed-fit intercept
- 0
- Transformed-fit R squared
- 1
Try another scenario
- Reaction times
- [0, 1, 2, 3]
- Positive reactant concentrations
- [1, 0.7, 0.49, 0.343]
- Reaction order: 0 zero; 1 first; 2 second
- 1
- Fitted rate constant
- 0.356675
- Transformed-fit intercept
- -0
- Transformed-fit R squared
- 1
Calculation method
Calculation method
Fitted rate constant
Fit C,lnC,or1/C against time; k=−slope for orders0/1, +slope for order2.
Transformed-fit intercept
C0,lnC0,or1/C0 according to order.
Transformed-fit R squared
OLS transformed residual diagnostic; no automatic kinetic-model selection.
Symbols and units
- a
- Reaction times
- b
- Positive reactant concentrations
- c
- Reaction order: 0 zero; 1 first; 2 second
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Time-concentration data, selected reaction order. Returns Rate constant and fit diagnostics. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Reaction times: minimum None, maximum 1000000000000.0. Positive reactant concentrations: minimum 1e-12, maximum 1000000000000.0. Reaction order: 0 zero; 1 first; 2 second: minimum 0, maximum 2.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.