Math 2.0

Statistical mechanics, structure of matter Definition

Flory–Huggins solution theory

Builds on Ideal chainMean-field theory

Definition

Consider a lattice in which each site is occupied either by a solvent molecule or by one segment of a polymer chain of N≥1N \ge 1 segments. Let φ∈(0,1)\varphi \in (0, 1) be the volume fraction of polymer, that is, the fraction of sites occupied by polymer segments. Let χ∈ℝ\chi \in \R be the Flory interaction parameter, the effective contact energy between polymer and solvent in units of kBTk_B T. The Flory–Huggins free energy of mixing per lattice site is ΔF(φ)kBT=φNln⁡φ+(1−φ)ln⁡(1−φ)+χφ(1−φ).\frac{\Delta F(\varphi)}{k_B T} = \frac{\varphi}{N} \ln \varphi + (1 - \varphi) \ln (1 - \varphi) + \chi \varphi (1 - \varphi). For a blend of two polymers with NAN_A and NBN_B segments, the first two terms are replaced by φNAln⁡φ+1−φNBln⁡(1−φ)\frac{\varphi}{N_A} \ln \varphi + \frac{1 - \varphi}{N_B} \ln(1 - \varphi).

Remarks

The first two terms are the entropy of placing the chains, and the last term is a mean-field estimate of the energy of polymer-solvent contacts. The mixture is locally unstable where ΔF′′<0\Delta F'' < 0, and the critical point solves ΔF′′=ΔF′′′=0\Delta F'' = \Delta F''' = 0. This gives φc=1/(1+N)\varphi_c = 1/(1 + \sqrt{N}) and χc=12(1+1/N)2\chi_c = \frac12 (1 + 1/\sqrt{N})^2. Check: ΔF′′/(kBT)=1Nφ+11−φ−2χ\Delta F''/(k_B T) = \frac{1}{N \varphi} + \frac{1}{1 - \varphi} - 2\chi and ΔF′′′/(kBT)=−1Nφ2+1(1−φ)2\Delta F'''/(k_B T) = -\frac{1}{N \varphi^2} + \frac{1}{(1 - \varphi)^2}. The second vanishes when 1−φ=Nφ1 - \varphi = \sqrt{N} \varphi, and then the first vanishes when 2χ=(1+N)2/N2\chi = (1 + \sqrt{N})^2 / N. Example: for N=1N = 1 the model is the regular solution model, with φc=1/2\varphi_c = 1/2 and χc=2\chi_c = 2. As N→∞N \to \infty, χc→1/2\chi_c \to 1/2 and φc→0\varphi_c \to 0. Non-example: real molecules do not sit on a lattice of equal-sized sites, so for them the lattice is only a heuristic. Then χ\chi is usually fitted to data and may depend on φ\varphi and TT.

Reading path

To understand this page from the ground up, read these 72 pages in order. The foundations come first.

  1. Complex numbers object
  2. Construction of the reals from Cauchy sequences concept
  3. Element definition
  4. Integers object
  5. Mean-field theory concept
  6. Normal distribution concept
  7. Ordered field definition
  8. Proposition concept
  9. Random experiment concept
  10. Random walk concept
  11. Rational numbers object
  12. Real numbers object
  13. Euler's formula statement
  14. Set definition
  15. Ring of integers statement
  16. Disjunction definition
  17. Implication definition
  18. Predicate definition
  19. Ordered pair definition
  20. Union definition
  21. Sample space definition
  22. Existential quantifier definition
  23. Universal quantifier definition
  24. The rationals form a field statement
  25. Cartesian product definition
  26. Subset definition
  27. Uniqueness quantifier definition
  28. The rationals form an ordered field statement
  29. Binary relation definition
  30. Power set definition
  31. Universal set definition
  32. Order on the reals definition
  33. Function definition
  34. Complement definition
  35. Interval definition
  36. Injective function definition
  37. Indicator function definition
  38. Preimage of a set definition
  39. Sigma-algebra definition
  40. Countable set definition
  41. Event definition
  42. Borel sigma-algebra definition
  43. Probability axioms concept
  44. Probability measure definition
  45. Probability distribution definition
  46. Dirac measure definition
  47. Probability space definition
  48. Conditional probability definition
  49. Random variable definition
  50. Cumulative distribution function definition
  51. Discrete random variable definition
  52. Law of a random variable definition
  53. Independence of two events definition
  54. Random variable with a density definition
  55. Convergence in distribution definition
  56. Probability mass function definition
  57. Expected value definition
  58. Identically distributed random variables definition
  59. Mutual independence of events definition
  60. Probability density function definition
  61. Law of the unconscious statistician statement
  62. Independent sigma-algebras definition
  63. Density of the normal distribution definition
  64. Characteristic function definition
  65. Independence of random variables definition
  66. Normal distribution definition
  67. The characteristic function determines the distribution statement
  68. Independent and identically distributed random variables definition
  69. Lévy's continuity theorem statement
  70. Central limit theorem statement
  71. Ideal chain example
  72. Flory–Huggins solution theory definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Flory%E2%80%93Huggins_solution_theory
About this page
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MSC82D60, 82B26
DefinesFlory–Huggins solution theory
UsesIdeal chain, Mean-field theory
Changed3 November 2026

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