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How to compute percent yield in Python using UliEngineering

You can easily compute the percent yield of a chemical reaction using the UliEngineering Python library:

percent_yield.py
from UliEngineering.Chemistry.Stoichiometry import percent_yield

# Compute percent yield (actual 1.5 mol, theoretical 2.0 mol)
yield_pct = percent_yield(1.5, 2.0)
print(f"Percent yield (1.5/2.0 mol): {yield_pct:.1f}%")

# Compute percent yield (actual 0.8 mol, theoretical 1.0 mol)
yield_pct = percent_yield(0.8, 1.0)
print(f"Percent yield (0.8/1.0 mol): {yield_pct:.1f}%")

# Compute percent yield (actual 1.9 mol, theoretical 2.0 mol)
yield_pct = percent_yield(1.9, 2.0)
print(f"Percent yield (1.9/2.0 mol): {yield_pct:.1f}%")

Example output

percent_yield_output.txt
Percent yield (1.5/2.0 mol): 75.0%
Percent yield (0.8/1.0 mol): 80.0%
Percent yield (1.9/2.0 mol): 95.0%

The percent yield calculation determines the efficiency of a chemical reaction by comparing the actual amount of product obtained to the theoretical maximum possible yield. This is essential for evaluating reaction efficiency, optimizing experimental conditions, and comparing different synthetic routes. A percent yield of 100% represents perfect efficiency, while lower values indicate losses due to side reactions, incomplete conversion, or product loss during isolation.

The percent yield is computed using the formula: $% \text{yield} = \frac{\text{actual}}{\text{theoretical}} \times 100$, where the actual yield is the measured amount of product obtained and the theoretical yield is the maximum possible amount based on stoichiometry. This metric helps chemists understand reaction efficiency and identify opportunities for improvement.

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