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Entropy is the universe's way of keeping score—it tells you whether a process wants to happen and helps explain everything from why ice melts to why your room gets messy. In General Chemistry II, you're being tested on your ability to calculate entropy changes for reactions, phase transitions, and temperature changes, and then connect those calculations to spontaneity predictions using Gibbs free energy. The concepts here—the second law, the third law, standard molar entropy, and the Gibbs equation—show up repeatedly on exams because they tie together thermodynamics into one coherent framework.
Don't just memorize formulas. Know why entropy increases when gases form, how the third law gives us a reference point for absolute entropy values, and when entropy can drive an otherwise unfavorable reaction forward. If you understand the underlying principle behind each calculation method, you'll be ready for any FRQ that asks you to predict spontaneity or explain why a reaction proceeds.
Before you calculate anything, you need to understand what entropy actually represents. Entropy quantifies the number of microstates available to a system—more ways to arrange particles means higher entropy.
Compare: Standard molar entropy (S°) vs. entropy change (ΔS°)—S° is an absolute value for a single substance, while ΔS° describes the change during a process. Exam questions often require you to use S° values to calculate ΔS°rxn.
The most common entropy calculation you'll encounter involves chemical reactions. Use tabulated S° values and apply the products-minus-reactants approach.
Compare: Hess's Law for entropy vs. Hess's Law for enthalpy—both exploit the state function property, but remember that S° values are absolute while ΔH°f values are relative to elements. FRQs may ask you to apply Hess's Law to either quantity.
Phase transitions and temperature changes involve entropy calculations that don't require reaction tables. These calculations use heat transfer and temperature relationships.
Compare: Phase transition entropy vs. temperature change entropy—phase transitions use at a single temperature, while gradual heating uses the logarithmic formula. Know which formula applies to each situation.
When substances combine without reacting, entropy changes due to the increased randomness of particle arrangements. Mixing almost always increases entropy because there are more ways to arrange different particles together than separately.
Here's where entropy calculations become powerful—predicting whether processes actually occur. The universe's entropy must increase for any spontaneous process.
Compare: Enthalpy-driven vs. entropy-driven spontaneity—some reactions are spontaneous because they're exothermic (negative ΔH dominates), others because they increase disorder (positive TΔS dominates). At high temperatures, entropy becomes more important. This distinction is a favorite FRQ topic.
| Concept | Best Examples |
|---|---|
| Standard molar entropy (S°) | Tabulated values, gases > liquids > solids |
| Reaction entropy (ΔS°rxn) | Products − reactants calculation, gas mole changes |
| Third law reference | Perfect crystal at 0 K, absolute entropy values |
| Phase transition entropy | , vaporization, fusion |
| Temperature change entropy | , heating/cooling |
| Entropy of mixing | Dissolution, gas mixing, increased randomness |
| Spontaneity criterion | , |
| Gibbs equation | , temperature effects |
A reaction has and . At what temperatures will it be spontaneous, and why does the Gibbs equation predict this?
Which two entropy calculation methods both rely on entropy being a state function, and how does this property make the calculations possible?
Compare the entropy change for melting ice at 0°C versus heating liquid water from 0°C to 50°C—which formula applies to each, and why?
If you're given S° values for all reactants and products, walk through how you would determine whether a reaction is spontaneous at 298 K.
A gas dissolves in water with . Explain how this process could still be spontaneous, referencing and the Gibbs equation.