Intermolecular Potential Energy Models

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Lennard-Jones van-der-Waals dispersion pair-potential virial-equation second-virial-coefficient

Core Idea

Intermolecular potential models quantify the energy of interaction between molecules as a function of separation distance r. The Lennard-Jones 12-6 potential u(r) = 4ε[(σ/r)¹² − (σ/r)⁶] captures short-range repulsion (Pauli exclusion, r⁻¹²) and long-range London dispersion attraction (r⁻⁶) with two parameters: well depth ε and collision diameter σ. Electrostatic contributions (dipole-dipole, dipole-induced-dipole) add orientation-dependent terms. The second virial coefficient B(T) = −2πN_A∫[exp(−u(r)/kT)−1]r²dr connects the pair potential to deviations from ideal gas behavior, providing a direct experimental route to determining ε and σ from equation-of-state measurements.

How It's Best Learned

Plot the LJ potential and identify the equilibrium separation (r_min = 2^(1/6)σ), well depth ε, and where the potential crosses zero (r = σ). Calculate B(T) numerically for argon and compare to experimental data across a range of temperatures.

Common Misconceptions

Explainer

From intermolecular forces, you know qualitatively that molecules attract at long range (London dispersion, dipole-dipole) and repel at short range (electron cloud overlap). Intermolecular potential models translate these qualitative ideas into mathematical functions that predict the exact energy of interaction at any separation distance r. Having an equation instead of a hand-waving description is what makes it possible to calculate real physical properties — gas viscosities, boiling points, crystal structures — from molecular parameters.

The workhorse model is the Lennard-Jones (LJ) 12-6 potential: u(r) = 4ε[(σ/r)¹² − (σ/r)⁶]. The (σ/r)⁶ term captures the attractive London dispersion interaction, which has a solid theoretical basis in quantum mechanics (induced-dipole/induced-dipole interactions fall off as r⁻⁶). The (σ/r)¹² repulsive term models the sharp increase in energy when electron clouds overlap, though the exponent 12 is chosen for mathematical convenience (it is simply the square of 6, making computation efficient) rather than physical rigor. The two parameters have intuitive meanings: ε is the depth of the energy well — how strongly the molecules attract at their optimal separation — and σ is the collision diameter — the distance at which the potential crosses zero, meaning repulsion and attraction exactly balance. The minimum energy occurs at r_min = 2^(1/6)σ ≈ 1.12σ, just slightly beyond the collision diameter.

For molecules with permanent dipoles, the LJ potential alone is insufficient. You must add electrostatic terms that depend on molecular orientation: the dipole-dipole interaction (∝ r⁻³), the dipole-induced dipole interaction (∝ r⁻⁶), and for ions, Coulombic terms (∝ r⁻¹). These orientation-dependent contributions explain why polar molecules like water have much stronger intermolecular interactions than nonpolar molecules of similar size. More sophisticated models like the Stockmayer potential combine the LJ function with a point dipole, while modern force fields used in molecular simulations assign partial charges to individual atoms and sum pairwise Coulombic and LJ interactions across all atom pairs.

The bridge between these microscopic pair potentials and macroscopic behavior runs through the second virial coefficient B(T), which describes the first correction to ideal gas behavior in the equation PV = nRT(1 + B/V + ...). The integral B(T) = −2πN_A∫₀^∞[exp(−u(r)/kT) − 1]r²dr connects the pair potential directly to measurable PV data. At low temperatures, attractions dominate and B is negative (gas is more compressible than ideal); at high temperatures, repulsions dominate and B is positive. Fitting experimental B(T) data across a range of temperatures determines ε and σ for a given molecule, turning the abstract potential into a calibrated, predictive tool.

Practice Questions 5 questions

Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIterated Integrals and Fubini's TheoremDouble Integrals in Cartesian CoordinatesDouble Integrals over Rectangular RegionsDouble Integrals in Polar CoordinatesDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble 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Probability Density InterpretationQuantum Superposition and Linear Combinations of StatesQuantum Operators and ObservablesCanonical Commutation Relations and UncertaintyHeisenberg Uncertainty Principle and Measurement LimitsTime-Independent Schrödinger Equation and EigenvaluesHydrogen Atom in Quantum MechanicsSpectral Lines and Energy TransitionsSelection Rules for Atomic TransitionsLS and jj Coupling Schemes in Multi-Electron AtomsPauli Exclusion Principle and Antisymmetric WavefunctionsElectron Configuration and the Aufbau PrincipleThe Periodic Table and Atomic Electronic StructureThe Periodic TableElectron ConfigurationPeriodic TrendsIonization EnergyIonic BondingLewis StructuresResonance Structures and Delocalized ElectronsResonance and Formal ChargeMolecular Polarity and Dipole MomentsIntermolecular ForcesStates of Matter and Phase Changes: Melting, Boiling, and SublimationGas Laws and the Ideal Gas EquationGas Stoichiometry and Volume-Volume CalculationsThermochemistry and EnthalpyHeat Capacity and CalorimetryEntropy and Molecular DisorderSpontaneity and ΔGEntropy and Gibbs Free EnergyChemical EquilibriumStatistical Mechanics: Ensembles and the Boltzmann DistributionIntermolecular Potential Energy Models

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