Generated by GPT-5-mini| Chemical potential | |
|---|---|
| Name | Chemical potential |
| SI unit | joule per mole (J·mol^−1) |
| Other units | electronvolt (eV) |
| Field | Thermodynamics, Statistical mechanics, Physical chemistry |
Chemical potential is a central state function in thermodynamics that quantifies the change in a system's energy when the number of particles of a component is varied at constant entropy and volume. It connects the macroscopic laws of Thermodynamics with microscopic descriptions provided by Statistical mechanics and underlies phenomena in Physical chemistry, Materials science, and Condensed matter physics. The concept determines spontaneous transport, phase changes, and reaction equilibria across diverse systems from ideal gases to electronic carriers in solids.
The chemical potential is defined as the partial derivative of the internal energy with respect to particle number, holding entropy and volume fixed, and can be interpreted as the Gibbs free energy per particle under appropriate constraints. In open systems it acts as a generalized force that drives exchange of particles between reservoirs, analogous to how Temperature drives heat flow and Pressure drives volume flow. Chemical potential equality is the criterion for equilibrium between phases or subsystems, so matching μ across interfaces ensures no net transfer of the species. Physically, μ encapsulates contributions from bonding, quantum statistics, and external fields such as those from Electromagnetism or Gravitation.
In the fundamental thermodynamic relation dU = TdS − PdV + Σμ_i dN_i, each μ_i is the conjugate variable to particle number N_i for species i; this relation is central in the formulations of Gibbs–Duhem equation and thermodynamic potentials like the Helmholtz and Gibbs free energies. For closed systems at fixed temperature and pressure, μ_i = (∂G/∂N_i)_{T,P,N_{j≠i}}; for canonical and grand canonical ensembles in Statistical mechanics the grand potential Ω = −k_B T ln Ξ yields μ as the Lagrange multiplier enforcing particle-number constraints. The Gibbs–Duhem relation Σ N_i dμ_i = −S dT + V dP links changes in chemical potentials to intensive variables, a crucial identity in multicomponent thermodynamics used in analyses developed by figures such as Josiah Willard Gibbs and applied across contexts including Phase rule considerations introduced by Josiah Willard Gibbs and others.
Phase equilibrium requires equality of the chemical potential of each species across coexisting phases; thus μ governs vapor–liquid equilibria, solid–solid transformations, and dissolution. In reaction thermodynamics, the reaction affinity A equals −Σν_i μ_i, where ν_i are stoichiometric coefficients, and equilibrium occurs when A = 0, corresponding to vanishing Gibbs free-energy change ΔG. This framework underpins the design and interpretation of experiments in Chemical engineering and Materials processing, and is applied in predictive models like the CALPHAD method and phase-diagram calculations used in studies of alloys and ceramics associated with institutions such as National Institute of Standards and Technology.
In statistical mechanics, μ enters distribution functions: for fermions the Fermi–Dirac distribution f(ε) = 1/(e^{(ε−μ)/k_BT}+1) sets occupancy of electronic states in metals and semiconductors, a foundation for theories developed by researchers at institutions like Bell Labs and applied to phenomena investigated at CERN and Bell Laboratories. For bosons the Bose–Einstein distribution leads to condensation when μ approaches the ground-state energy, a principle underlying experiments on Bose–Einstein condensates performed by research groups at MIT and JILA. In low-dimensional and strongly correlated systems, μ controls carrier density in devices fabricated by entities such as IBM and studied in contexts including the Quantum Hall effect and superconductivity explored at Los Alamos National Laboratory.
Chemical potential is expressed in joules per mole (J·mol^−1) or electronvolts (eV) when dealing with electronic systems; conversion between these units is routine in collaborations between groups at facilities like Brookhaven National Laboratory and university laboratories. Direct measurement is inferred from equilibrium conditions: for electrochemical cells μ relates to the electromotive force via the Nernst equation, enabling determinations by researchers working with instruments from companies tied to National Institutes of Health or industrial labs. In condensed-matter experiments μ is accessed by spectroscopic probes such as photoemission spectroscopy used at SLAC National Accelerator Laboratory or by transport measurements in devices developed at Stanford University.
- Ideal gas: μ(T,P) = μ°(T) + k_B T ln(P/P°), an expression used in atmospheric chemistry studies with collaborations among organizations including NASA and NOAA. - Ideal solutions: chemical potentials follow Raoult's law and Henry's law forms, applied in processes modeled by corporations and institutions in the chemical sector and studied historically in the work of scientists associated with University of Cambridge. - Electrochemistry: the electrochemical potential includes electric potential contributions, μ̃ = μ + zFφ, central to batteries and fuel cells developed by teams at Toyota and Argonne National Laboratory and to theories such as the Nernst equation and the Butler–Volmer kinetics used in energy-storage research.