🧂Physical Chemistry II Unit 8 – Advanced Thermodynamics
Advanced Thermodynamics explores the intricate relationships between heat, work, and energy in systems. It delves into macroscopic properties like temperature and pressure, while also examining microscopic interactions that influence system behavior. The laws of thermodynamics form the foundation for understanding energy conservation and entropy.
Statistical mechanics bridges the gap between microscopic and macroscopic properties, introducing concepts like ensembles and partition functions. Thermodynamic potentials, phase equilibria, and chemical equilibrium in complex systems are explored, along with applications in materials science and engineering. Non-ideal solutions and mixtures are also examined.
Internal energy (U) represents the total energy of a system, including kinetic and potential energies
Enthalpy (H) measures the heat content of a system at constant pressure (H=U+PV)
Entropy (S) quantifies the disorder or randomness of a system and relates to the second law of thermodynamics
Gibbs free energy (G) predicts the spontaneity of processes at constant temperature and pressure (G=H−TS)
Processes with ΔG<0 are spontaneous, while those with ΔG>0 are non-spontaneous
Laws of Thermodynamics Revisited
The zeroth law establishes thermal equilibrium and the concept of temperature
If two systems are in thermal equilibrium with a third system, they are in thermal equilibrium with each other
The first law states that energy is conserved in a closed system (ΔU=Q+W)
Heat (Q) and work (W) are forms of energy transfer between a system and its surroundings
The second law introduces entropy and states that it always increases in a closed system
Heat flows spontaneously from hot to cold objects, never the reverse
The third law states that the entropy of a perfect crystal approaches zero as temperature approaches absolute zero
The laws of thermodynamics have wide-ranging applications in chemistry, physics, and engineering
Examples include heat engines, refrigeration cycles, and chemical reactions
Statistical Mechanics and Ensemble Theory
Statistical mechanics bridges the gap between microscopic properties and macroscopic thermodynamic behavior
Ensembles are large collections of microstates (specific configurations of a system) that share common macroscopic properties
The microcanonical ensemble (NVE) describes isolated systems with constant number of particles (N), volume (V), and energy (E)
The canonical ensemble (NVT) represents systems in thermal equilibrium with a heat bath at constant temperature (T)
The grand canonical ensemble (μVT) allows for the exchange of particles and energy with a reservoir at constant chemical potential (μ)
The partition function (Z) is a key concept in statistical mechanics that relates microscopic properties to macroscopic thermodynamic quantities
For the canonical ensemble, Z=∑ie−Ei/kT, where Ei is the energy of microstate i, k is the Boltzmann constant, and T is the temperature
Thermodynamic properties can be derived from the partition function, such as internal energy (U=−∂lnZ/∂β) and entropy (S=klnZ+kT∂lnZ/∂T), where β=1/kT
Thermodynamic Potentials and Relations
Thermodynamic potentials are state functions that characterize a system's energy and provide criteria for spontaneity and equilibrium
The four main thermodynamic potentials are internal energy (U), enthalpy (H), Helmholtz free energy (A), and Gibbs free energy (G)
Maxwell relations are derived from the equality of mixed partial derivatives of thermodynamic potentials
For example, (∂S/∂V)T=(∂P/∂T)V is derived from the Helmholtz free energy
Legendre transformations relate thermodynamic potentials through changes in natural variables
Enthalpy is a Legendre transform of internal energy: H=U+PV
Gibbs free energy is a Legendre transform of enthalpy: G=H−TS
The Gibbs-Duhem equation relates changes in chemical potential to changes in temperature and pressure for a multi-component system
SdT−VdP+∑iNidμi=0, where Ni is the number of particles of species i and μi is its chemical potential
Phase Equilibria and Transitions
Phase equilibria occur when two or more phases coexist at the same temperature, pressure, and chemical potential
The Gibbs phase rule (F=C−P+2) relates the number of degrees of freedom (F) to the number of components (C) and phases (P) in a system
The Clapeyron equation describes the slope of a phase boundary in a pressure-temperature diagram
dP/dT=ΔH/TΔV, where ΔH and ΔV are the enthalpy and volume changes associated with the phase transition
The Clausius-Clapeyron equation is a special case for vapor-liquid equilibrium
ln(P2/P1)=−ΔHvap/R(1/T2−1/T1), where P1 and P2 are the vapor pressures at temperatures T1 and T2, and ΔHvap is the enthalpy of vaporization
Critical points occur at the end of a phase equilibrium curve, where the properties of the two phases become identical
The critical temperature (Tc), pressure (Pc), and volume (Vc) are important parameters for describing the behavior of fluids
Chemical Equilibrium in Complex Systems
Chemical equilibrium is achieved when the forward and reverse reaction rates are equal, and the concentrations of reactants and products remain constant
The equilibrium constant (K) is related to the Gibbs free energy change of a reaction (ΔG∘=−RTlnK)
For a reaction aA+bB⇌cC+dD, K=[C]c[D]d/[A]a[B]b, where the brackets denote equilibrium concentrations
Le Chatelier's principle states that a system in equilibrium will shift to counteract any external stress applied to it
Examples include changes in concentration, pressure, temperature, or volume
The van 't Hoff equation describes the temperature dependence of the equilibrium constant
dlnK/dT=ΔH∘/RT2, where ΔH∘ is the standard enthalpy change of the reaction
Coupled reactions occur when the product of one reaction serves as a reactant for another, influencing the overall equilibrium
ATP hydrolysis is often coupled to energetically unfavorable reactions in biological systems to drive them forward
Non-Ideal Solutions and Mixtures
Non-ideal solutions deviate from the behavior predicted by Raoult's law due to intermolecular interactions between components
Activity coefficients (γi) account for non-ideality by relating the activity (ai) of a component to its mole fraction (xi)
ai=γixi, where γi=1 for an ideal solution
The Gibbs-Duhem equation for non-ideal solutions relates changes in activity coefficients to changes in composition
x1dlnγ1+x2dlnγ2=0 for a binary mixture
Excess properties (e.g., excess Gibbs free energy, GE) quantify the deviation of a mixture from ideal behavior
GE=RT(x1lnγ1+x2lnγ2) for a binary mixture
Models such as the Margules, van Laar, and Wilson equations describe the composition dependence of activity coefficients
Azeotropes are mixtures that boil at a constant temperature and composition, forming a local maximum or minimum in the vapor-liquid equilibrium diagram
Examples include ethanol-water (95.6% ethanol) and hydrochloric acid-water (20.2% HCl)
Applications in Materials Science and Engineering
Thermodynamics plays a crucial role in understanding the stability, properties, and processing of materials
Phase diagrams depict the equilibrium phases present in a system as a function of composition, temperature, and pressure
Binary phase diagrams (e.g., Fe-C) are essential for designing alloys with desired properties
Ellingham diagrams show the temperature dependence of the Gibbs free energy of formation for various oxides
Used to predict the stability of oxides and the feasibility of reduction reactions
Defect chemistry examines the thermodynamics of point defects (vacancies, interstitials, substitutional atoms) in crystalline solids
Defect concentrations influence properties such as electrical conductivity and diffusion rates
Interfacial thermodynamics governs the behavior of surfaces, grain boundaries, and heterogeneous interfaces
Surface energy and interfacial tension affect phenomena such as wetting, adhesion, and sintering
Thermodynamic modeling and computational methods (e.g., CALPHAD) enable the prediction of phase equilibria and properties in complex multicomponent systems
Facilitates the design of advanced materials with tailored compositions and microstructures