In chemistry, thermodynamics, and many other related fields, phase transitions (or phase changes) are the physical processes of transition between a state of a medium, identified by some parameters, and another one, with different values of the parameters. Commonly the term is used to refer to changes among the basic states of matter: solid, liquid, and gas, as well as plasma in rare cases.
For example, a phase of a thermodynamic system and the states of matter have uniform physical properties. During a phase transition of a given medium, certain properties of the medium change, often discontinuously, as a result of the change of external conditions, such as temperature, pressure, or others. For example, a liquid may become gas upon heating to the boiling point, resulting in an abrupt change in volume. The measurement of the external conditions at which the transformation occurs is termed the phase transition. Phase transitions commonly occur in nature and are used today in many technologies.
Examples of phase transitions include:
To From

Solid  Liquid  Gas  Plasma 

Solid  Melting  Sublimation  
Liquid  Freezing  Vaporization  
Gas  Deposition  Condensation  Ionization  
Plasma  Recombination 
Phase transitions occur when the thermodynamic free energy of a system is nonanalytic for some choice of thermodynamic variables (cf. phases). This condition generally stems from the interactions of a large number of particles in a system, and does not appear in systems that are too small. It is important to note that phase transitions can occur and are defined for nonthermodynamic systems, where temperature is not a parameter. Examples include: quantum phase transitions, dynamic phase transitions, and topological (structural) phase transitions. In these types of systems other parameters take the place of temperature. For instance, connection probability replaces temperature for percolating networks.
At the phase transition point (for instance, boiling point) the two phases of a substance, liquid and vapor, have identical free energies and therefore are equally likely to exist. Below the boiling point, the liquid is the more stable state of the two, whereas above the gaseous form is preferred.
It is sometimes possible to change the state of a system diabatically (as opposed to adiabatically) in such a way that it can be brought past a phase transition point without undergoing a phase transition. The resulting state is metastable, i.e., less stable than the phase to which the transition would have occurred, but not unstable either. This occurs in superheating, supercooling, and supersaturation, for example.
Paul Ehrenfest classified phase transitions based on the behavior of the thermodynamic free energy as a function of other thermodynamic variables.^{[2]} Under this scheme, phase transitions were labeled by the lowest derivative of the free energy that is discontinuous at the transition. Firstorder phase transitions exhibit a discontinuity in the first derivative of the free energy with respect to some thermodynamic variable.^{[3]} The various solid/liquid/gas transitions are classified as firstorder transitions because they involve a discontinuous change in density, which is the (inverse of the) first derivative of the free energy with respect to pressure. Secondorder phase transitions are continuous in the first derivative (the order parameter, which is the first derivative of the free energy with respect to the external field, is continuous across the transition) but exhibit discontinuity in a second derivative of the free energy.^{[3]} These include the ferromagnetic phase transition in materials such as iron, where the magnetization, which is the first derivative of the free energy with respect to the applied magnetic field strength, increases continuously from zero as the temperature is lowered below the Curie temperature. The magnetic susceptibility, the second derivative of the free energy with the field, changes discontinuously. Under the Ehrenfest classification scheme, there could in principle be third, fourth, and higherorder phase transitions.
The Ehrenfest classification implicitly allows for continuous phase transformations, where the bonding character of a material changes, but there is no discontinuity in any free energy derivative. An example of this occurs at the supercritical liquidgas boundaries.
The first example of an phase transition which did not fit into the Ehrenfest classification was the exact solution of the Ising model, discovered in 1944 by Lars Onsager. The exact specific heat differed from the earlier meanfield approximations, which had predicted that it has a simple discontinuity at critical temperature. Instead, the exact specific heat had a logarithmic divergence at the critical temperature.^{[4]} In the following decades, the Ehrenfest classification was replaced by a simplified classification scheme that is able to incorporate such transitions.
In the modern classification scheme, phase transitions are divided into two broad categories, named similarly to the Ehrenfest classes:^{[2]}
Firstorder phase transitions are those that involve a latent heat. During such a transition, a system either absorbs or releases a fixed (and typically large) amount of energy per volume. During this process, the temperature of the system will stay constant as heat is added: the system is in a "mixedphase regime" in which some parts of the system have completed the transition and others have not.^{[5]}^{[6]} Familiar examples are the melting of ice or the boiling of water (the water does not instantly turn into vapor, but forms a turbulent mixture of liquid water and vapor bubbles). Yoseph Imry and Michael Wortis showed that quenched disorder can broaden a firstorder transition. That is, the transformation is completed over a finite range of temperatures, but phenomena like supercooling and superheating survive and hysteresis is observed on thermal cycling.^{[7]}^{[8]}^{[9]}
Secondorder phase transitions are also called "continuous phase transitions". They are characterized by a divergent susceptibility, an infinite correlation length, and a power law decay of correlations near criticality. Examples of secondorder phase transitions are the ferromagnetic transition, superconducting transition (for a TypeI superconductor the phase transition is secondorder at zero external field and for a TypeII superconductor the phase transition is secondorder for both normalstatemixedstate and mixedstatesuperconductingstate transitions) and the superfluid transition. In contrast to viscosity, thermal expansion and heat capacity of amorphous materials show a relatively sudden change at the glass transition temperature^{[10]} which enables accurate detection using differential scanning calorimetry measurements. Lev Landau gave a phenomenological theory of secondorder phase transitions.
Apart from isolated, simple phase transitions, there exist transition lines as well as multicritical points, when varying external parameters like the magnetic field or composition.
Several transitions are known as infiniteorder phase transitions. They are continuous but break no symmetries. The most famous example is the KosterlitzThouless transition in the twodimensional XY model. Many quantum phase transitions, e.g., in twodimensional electron gases, belong to this class.
The liquidglass transition is observed in many polymers and other liquids that can be supercooled far below the melting point of the crystalline phase. This is atypical in several respects. It is not a transition between thermodynamic ground states: it is widely believed that the true ground state is always crystalline. Glass is a quenched disorder state, and its entropy, density, and so on, depend on the thermal history. Therefore, the glass transition is primarily a dynamic phenomenon: on cooling a liquid, internal degrees of freedom successively fall out of equilibrium. Some theoretical methods predict an underlying phase transition in the hypothetical limit of infinitely long relaxation times.^{[11]}^{[12]} No direct experimental evidence supports the existence of these transitions.
The gelation transition of colloidal particles has been shown to be a secondorder phase transition under nonequilibrium conditions.^{[13]}
A disorderbroadened firstorder transition occurs over a finite range of temperatures where the fraction of the lowtemperature equilibrium phase grows from zero to one (100%) as the temperature is lowered. This continuous variation of the coexisting fractions with temperature raised interesting possibilities. On cooling, some liquids vitrify into a glass rather than transform to the equilibrium crystal phase. This happens if the cooling rate is faster than a critical cooling rate, and is attributed to the molecular motions becoming so slow that the molecules cannot rearrange into the crystal positions.^{[14]} This slowing down happens below a glassformation temperature T_{g}, which may depend on the applied pressure.^{[10]}^{[15]} If the firstorder freezing transition occurs over a range of temperatures, and T_{g} falls within this range, then there is an interesting possibility that the transition is arrested when it is partial and incomplete. Extending these ideas to firstorder magnetic transitions being arrested at low temperatures, resulted in the observation of incomplete magnetic transitions, with two magnetic phases coexisting, down to the lowest temperature. First reported in the case of a ferromagnetic to antiferromagnetic transition,^{[16]} such persistent phase coexistence has now been reported across a variety of firstorder magnetic transitions. These include colossalmagnetoresistance manganite materials,^{[17]}^{[18]} magnetocaloric materials,^{[19]} magnetic shape memory materials,^{[20]} and other materials.^{[21]} The interesting feature of these observations of T_{g} falling within the temperature range over which the transition occurs is that the firstorder magnetic transition is influenced by magnetic field, just like the structural transition is influenced by pressure. The relative ease with which magnetic fields can be controlled, in contrast to pressure, raises the possibility that one can study the interplay between T_{g} and T_{c} in an exhaustive way. Phase coexistence across firstorder magnetic transitions will then enable the resolution of outstanding issues in understanding glasses.
In any system containing liquid and gaseous phases, there exists a special combination of pressure and temperature, known as the critical point, at which the transition between liquid and gas becomes a secondorder transition. Near the critical point, the fluid is sufficiently hot and compressed that the distinction between the liquid and gaseous phases is almost nonexistent. This is associated with the phenomenon of critical opalescence, a milky appearance of the liquid due to density fluctuations at all possible wavelengths (including those of visible light).
Phase transitions often involve a symmetry breaking process. For instance, the cooling of a fluid into a crystalline solid breaks continuous translation symmetry: each point in the fluid has the same properties, but each point in a crystal does not have the same properties (unless the points are chosen from the lattice points of the crystal lattice). Typically, the hightemperature phase contains more symmetries than the lowtemperature phase due to spontaneous symmetry breaking, with the exception of certain accidental symmetries (e.g. the formation of heavy virtual particles, which only occurs at low temperatures).^{[22]}
An order parameter is a measure of the degree of order across the boundaries in a phase transition system; it normally ranges between zero in one phase (usually above the critical point) and nonzero in the other.^{[23]} At the critical point, the order parameter susceptibility will usually diverge.
An example of an order parameter is the net magnetization in a ferromagnetic system undergoing a phase transition. For liquid/gas transitions, the order parameter is the difference of the densities.
From a theoretical perspective, order parameters arise from symmetry breaking. When this happens, one needs to introduce one or more extra variables to describe the state of the system. For example, in the ferromagnetic phase, one must provide the net magnetization, whose direction was spontaneously chosen when the system cooled below the Curie point. However, note that order parameters can also be defined for nonsymmetrybreaking transitions.
Some phase transitions, such as superconducting and ferromagnetic, can have order parameters for more than one degree of freedom. In such phases, the order parameter may take the form of a complex number, a vector, or even a tensor, the magnitude of which goes to zero at the phase transition.^{[24]}
There also exist dual descriptions of phase transitions in terms of disorder parameters. These indicate the presence of linelike excitations such as vortex or defect lines.
Symmetrybreaking phase transitions play an important role in cosmology. As the universe expanded and cooled, the vacuum underwent a series of symmetrybreaking phase transitions. For example, the electroweak transition broke the SU(2)×U(1) symmetry of the electroweak field into the U(1) symmetry of the presentday electromagnetic field. This transition is important to explain the asymmetry between the amount of matter and antimatter in the presentday universe, according to electroweak baryogenesis theory.
Progressive phase transitions in an expanding universe are implicated in the development of order in the universe, as is illustrated by the work of Eric Chaisson^{[25]} and David Layzer.^{[26]}
See also relational order theories and order and disorder.
Continuous phase transitions are easier to study than firstorder transitions due to the absence of latent heat, and they have been discovered to have many interesting properties. The phenomena associated with continuous phase transitions are called critical phenomena, due to their association with critical points.
It turns out that continuous phase transitions can be characterized by parameters known as critical exponents. The most important one is perhaps the exponent describing the divergence of the thermal correlation length by approaching the transition. For instance, let us examine the behavior of the heat capacity near such a transition. We vary the temperature T of the system while keeping all the other thermodynamic variables fixed and find that the transition occurs at some critical temperature T_{c}. When T is near T_{c}, the heat capacity C typically has a power law behavior:
The heat capacity of amorphous materials has such a behaviour near the glass transition temperature where the universal critical exponent ? = 0.59^{[27]} A similar behavior, but with the exponent ? instead of ?, applies for the correlation length.
The exponent ? is positive. This is different with ?. Its actual value depends on the type of phase transition we are considering.
It is widely believed that the critical exponents are the same above and below the critical temperature. It has now been shown that this is not necessarily true: When a continuous symmetry is explicitly broken down to a discrete symmetry by irrelevant (in the renormalization group sense) anisotropies, then some exponents (such as , the exponent of the susceptibility) are not identical.^{[28]}
For 1 < ? < 0, the heat capacity has a "kink" at the transition temperature. This is the behavior of liquid helium at the lambda transition from a normal state to the superfluid state, for which experiments have found ? = 0.013 ± 0.003. At least one experiment was performed in the zerogravity conditions of an orbiting satellite to minimize pressure differences in the sample.^{[29]} This experimental value of ? agrees with theoretical predictions based on variational perturbation theory.^{[30]}
For 0 < ? < 1, the heat capacity diverges at the transition temperature (though, since ? < 1, the enthalpy stays finite). An example of such behavior is the 3D ferromagnetic phase transition. In the threedimensional Ising model for uniaxial magnets, detailed theoretical studies have yielded the exponent ? ? +0.110.
Some model systems do not obey a powerlaw behavior. For example, mean field theory predicts a finite discontinuity of the heat capacity at the transition temperature, and the twodimensional Ising model has a logarithmic divergence. However, these systems are limiting cases and an exception to the rule. Real phase transitions exhibit powerlaw behavior.
Several other critical exponents, ?, ?, ?, ?, and ?, are defined, examining the power law behavior of a measurable physical quantity near the phase transition. Exponents are related by scaling relations, such as
It can be shown that there are only two independent exponents, e.g. ? and ?.
It is a remarkable fact that phase transitions arising in different systems often possess the same set of critical exponents. This phenomenon is known as universality. For example, the critical exponents at the liquidgas critical point have been found to be independent of the chemical composition of the fluid.
More impressively, but understandably from above, they are an exact match for the critical exponents of the ferromagnetic phase transition in uniaxial magnets. Such systems are said to be in the same universality class. Universality is a prediction of the renormalization group theory of phase transitions, which states that the thermodynamic properties of a system near a phase transition depend only on a small number of features, such as dimensionality and symmetry, and are insensitive to the underlying microscopic properties of the system. Again, the divergence of the correlation length is the essential point.
There are also other critical phenomena; e.g., besides static functions there is also critical dynamics. As a consequence, at a phase transition one may observe critical slowing down or speeding up. The large static universality classes of a continuous phase transition split into smaller dynamic universality classes. In addition to the critical exponents, there are also universal relations for certain static or dynamic functions of the magnetic fields and temperature differences from the critical value.
Another phenomenon which shows phase transitions and critical exponents is percolation. The simplest example is perhaps percolation in a two dimensional square lattice. Sites are randomly occupied with probability p. For small values of p the occupied sites form only small clusters. At a certain threshold p_{c} a giant cluster is formed, and we have a secondorder phase transition.^{[31]} The behavior of P_{?} near p_{c} is P_{?} ~ (p  p_{c})^{?}, where ? is a critical exponent. Using percolation theory one can define all critical exponents that appear in phase transitions.^{[32]}^{[31]} External fields can be also defined for second order percolation systems^{[33]} as well as for first order percolation^{[34]} systems. Percolation has found geospacial applications ranging from the study of urban traffic for identifying repetitive bottlenecks,^{[35]}^{[36]} to the behaviors of wildfires and pandemics. ^{[37]}
Phase transitions play many important roles in biological systems. Examples include the lipid bilayer formation, the coilglobule transition in the process of protein folding and DNA melting, liquid crystallike transitions in the process of DNA condensation, and cooperative ligand binding to DNA and proteins with the character of phase transition.^{[38]}
In biological membranes, gel to liquid crystalline phase transitions play a critical role in physiological functioning of biomembranes. In gel phase, due to low fluidity of membrane lipid fattyacyl chains, membrane proteins have restricted movement and thus are restrained in exercise of their physiological role. Plants depend critically on photosynthesis by chloroplast thylakoid membranes which are exposed cold environmental temperatures. Thylakoid membranes retain innate fluidity even at relatively low temperatures because of high degree of fattyacyl disorder allowed by their high content of linolenic acid, 18carbon chain with 3double bonds.^{[39]} Geltoliquid crystalline phase transition temperature of biological membranes can be determined by many techniques including calorimetry, fluorescence, spin label electron paramagnetic resonance and NMR by recording measurements of the concerned parameter by at series of sample temperatures. A simple method for its determination from 13C NMR line intensities has also been proposed.^{[40]}
It has been proposed that some biological systems might lie near critical points. Examples include neural networks in the salamander retina,^{[41]} bird flocks^{[42]} gene expression networks in Drosophila,^{[43]} and protein folding.^{[44]} However, it is not clear whether or not alternative reasons could explain some of the phenomena supporting arguments for criticality.^{[45]} It has also been suggested that biological organisms share two key properties of phase transitions: the change of macroscopic behavior and the coherence of a system at a critical point.^{[46]}
The characteristic feature of second order phase transitions is the appearance of fractals in some scalefree properties. It has long been known that protein globules are shaped by interactions with water. There are 20 amino acids that form side groups on protein peptide chains range from hydrophilic to hydrophobic, causing the former to lie near the globular surface, while the latter lie closer to the globular center. Twenty fractals were discovered in solvent associated surface areas of > 5000 protein segments.^{[47]} The existence of these fractals proves that proteins function near critical points of secondorder phase transitions.
In groups of organisms in stress (when approaching critical transitions), correlations tend to increase, while at the same time, fluctuations also increase. This effect is supported by many experiments and observations of groups of people, mice, trees, and grassy plants.^{[48]}
A variety of methods are applied for studying the various effects. Selected examples are: