Skip to content
Field Atlas

Atlas / Physics / The Matter Thread

Field · Emerged 1895 – 1949

Magnetism

Why are a few materials, such as iron, permanently magnetic, and what holds their tiny atomic magnets in line?

5 chapters5 min read7 turning points1 open problem

Branched from
Solid-State Physics + Statistical Mechanics
Branched into
Not yet surveyed past here
Figures
Pierre Curie, Pierre Weiss, Niels Bohr, Hendrika van Leeuwen, Werner Heisenberg, Louis Néel, Clifford Shull, Sam Edwards, Philip Anderson, Giorgio Parisi, Albert Fert, Peter Grünberg

In brief

Lodestones and compasses are among the oldest objects of physics, yet why iron is magnetic was not understood until 1928. Pierre Curie showed in 1895 that iron loses its magnetism above a sharp temperature, and Pierre Weiss explained this in 1907 by supposing that each atomic magnet feels an enormous internal field from its neighbours. Nobody could say where such a field came from. A theorem proved independently by Niels Bohr and Hendrika van Leeuwen then showed that classical physics cannot produce magnetism at all.

The answer was quantum mechanical. Heisenberg showed in 1928 that the exclusion principle, combined with the electric repulsion between electrons, makes neighbouring spins prefer to line up, an effect thousands of times stronger than any magnetic force between them. Louis Néel found materials in which neighbouring spins point in opposite directions. The study of disordered magnets, called spin glasses, later fed into optimisation and neural networks, and layered magnetic films gave the read heads that made modern hard drives possible.

Key ideas

Curie temperatureEnters 1895

The temperature above which a ferromagnet loses its permanent magnetism: 770 °C for iron, about 19 °C for gadolinium. Above it, the material is only weakly attracted to a magnet.

Molecular fieldEnters 1907

Weiss's idea that each atomic magnet feels an internal field produced by its neighbours, strong enough to align them. It worked well, but its size was far too large to be magnetic in origin.

Exchange interactionEnters 1928

An effect of the exclusion principle and the electric repulsion between electrons, which makes the energy of two neighbouring atoms depend on whether their spins are parallel. It is the true source of the molecular field.

AntiferromagnetismEnters 1936 – 1949

An ordered state in which neighbouring atomic magnets point in opposite directions, so the material has no overall magnetisation. It is more common than ferromagnetism.

Giant magnetoresistanceEnters 1988 – 1989

A large change in electrical resistance in stacked magnetic layers a few atoms thick, depending on whether the layers are magnetised parallel or opposite. It lets a tiny field from a disc be read as a change in current.

Chapter I

The Curie Point

A magnet heated red-hot stops being a magnet. In 1895 Pierre Curie measured this carefully for his doctoral thesis. Iron loses its strong magnetism abruptly at about 770 °C. Above that temperature it behaves like the many substances that are only weakly attracted to a magnet, and for those Curie found a simple rule: the magnetism induced by a field falls in proportion to the inverse of temperature. Heat jostles the atomic magnets out of line.

In 1907 Pierre Weiss explained the Curie point. Suppose each atomic magnet feels an internal field proportional to the magnetisation of its surroundings. Below a certain temperature this feedback sustains itself, and the magnets line up spontaneously. Above it, heat wins. The same kind of self-consistent argument would later become Landau's theory of phase transitions. Weiss also saw why an ordinary nail is not a magnet. It is divided into small domains, each fully magnetised but pointing in different directions. But his molecular field had to be enormous, more than a thousand tesla, far stronger than the magnetic field of any atom could be.

Chapter II

A Quantum Effect

Worse was to come. In his doctoral thesis of 1911, Niels Bohr proved that classical statistical mechanics allows no magnetism at all. In a field, electrons curve, but in thermal equilibrium their effects cancel exactly. Hendrika van Leeuwen proved the same in 1919. Magnetism, one of the oldest known forces, cannot be explained without quantum mechanics.

The electron's spin, discovered in 1925, made each electron a tiny magnet. In 1928 Werner Heisenberg found the force that aligns them. It is not magnetic at all. The exclusion principle forces two electrons with parallel spins to stay apart, and that changes their electric repulsion. So the energy of two neighbouring atoms depends on whether their spins are parallel. This exchange interaction is electric in strength, which is why it can hold spins in line at hundreds of degrees.

The exchange interaction can also favour opposite spins. Louis Néel predicted in 1936 that such materials would order with alternating magnets, showing no outward magnetism at all. In 1949 Clifford Shull confirmed it by diffracting neutrons from manganese oxide, since neutrons, unlike X-rays, feel the spins. In his Nobel lecture of 1970, Néel remarked that antiferromagnets were interesting but seemed to have no applications.

Chapter III

Frustration and Films

In some alloys the interactions are random, so no arrangement can satisfy every pair. The spins freeze into a disordered pattern, a spin glass. Sam Edwards and Philip Anderson wrote a model of this in 1975, and Giorgio Parisi solved a version of it in 1979, finding a rugged landscape of countless nearly equal frozen states. The mathematics proved useful far outside magnetism, in optimisation, in models of memory and in the theory of computation. Mathematicians took until 2006 to prove Parisi's solution rigorously.

Magnetism also became engineering at the scale of atoms. In 1988 Albert Fert and Peter Grünberg independently found that stacks of alternating iron and chromium layers, a few atoms thick, change their electrical resistance dramatically in a magnetic field. The iron layers are coupled antiparallel through the chromium, and electrons of one spin pass easily through layers magnetised one way. Within ten years the effect was reading data in hard drives, and it often used an antiferromagnet to pin one layer in place.

Chapter IV

A Closer Look: Why Magnetism Is Not Magnetic

Weiss's molecular field must be strong enough that an atomic magnet gains an energy comparable to the thermal energy at the Curie point. An electron's magnetic moment is the Bohr magneton, μB=9.27×10−24\mu_B = 9.27 \times 10^{-24} J/T. Setting μBBW≈kBTC\mu_B B_W \approx k_B T_C gives a rough size for the field:

MetalCurie pointkBTCk_B T_C (meV)Rough molecular field kBTC/μBk_B T_C / \mu_B
Iron1043 K (770 °C)89.91,553 T
Cobalt1388 K (1115 °C)119.62,066 T
Nickel627 K (354 °C)54.0933 T
Gadolinium292 K (19 °C)25.2435 T

These are order-of-magnitude estimates, since the exact factor depends on the atom's spin and number of neighbours. The strongest steady magnets in any laboratory reach about 45 T.

Now compare the real magnetic field one atomic magnet produces at its neighbour, about 0.25 nm away. The field of a magnetic dipole is

B≈μ04πμBr3=10−7×9.27×10−24(2.5×10−10)3≈0.059 T.B \approx \frac{\mu_0}{4\pi} \frac{\mu_B}{r^3} = 10^{-7} \times \frac{9.27 \times 10^{-24}}{(2.5 \times 10^{-10})^3} \approx 0.059 \ \text{T} .

That is about 26,000 times too weak to explain iron. The energy μBB\mu_B B is only 3.4 µeV, equivalent to a temperature of 0.04 K. If magnetic forces alone aligned the atoms, iron would be magnetic only within a few hundredths of a degree of absolute zero. The force that actually does it is Heisenberg's exchange, which is electric.

The consequence for technology is concrete. A magnetic bit is a patch of grains magnetised one way. At a storage density of one terabit per square inch, reached by hard drives in the 2010s, each bit occupies about 645 square nanometres, a square 25 nm on a side. At one gigabit per square inch, reached in the mid-1990s, the side was about 800 nm. Reading bits that small needed a sensor with a large response to weak fields, which is what giant magnetoresistance supplied.

Chapter V

Order of Every Kind

Magnetism turned out to be a laboratory for all of statistical physics. The Ising model of phase transitions is a model of a magnet, and magnets remain the cleanest test of theories of critical behaviour. Magnetic fluctuations are the leading suspect behind high-temperature superconductivity. And the search for quantum spin liquids, magnets that never order, joins the study of topological matter, where order is defined not by aligned spins but by the shape of quantum states.

Applications

Where it is used

  • Data storage

    The hard-drive read head

    Read heads based on giant magnetoresistance let hard drives detect much smaller magnetic bits, and storage density rose steeply after their introduction in 1997. Later heads use a related effect, tunnelling magnetoresistance. The same physics of electron spin in layered films, called spintronics, now underlies magnetic memory chips.

    › Sources (1)
    • Fert, A. (2008). Nobel lecture: Origin, development, and future of spintronics. Reviews of Modern Physics 80(4): 1517–1530.
  • Optimisation↗ Mathematics · Combinatorial Optimisation

    Simulated annealing

    Finding the lowest-energy state of a spin glass is like solving a hard optimisation problem, such as the shortest tour of many cities. In 1983 Scott Kirkpatrick and colleagues at IBM turned this around. They solved optimisation problems by imitating a slowly cooled magnet, letting the solution wander and gradually lowering a temperature. Simulated annealing is still widely used to lay out chips and schedules.

    › Sources (1)
    • Kirkpatrick, S., Gelatt, C. D. & Vecchi, M. P. (1983). Optimization by simulated annealing. Science 220(4598): 671–680.
  • Neural networks↗ Biology · Computational Neuroscience

    Memories as low-energy states

    In 1982 John Hopfield described a network of model neurons as a spin glass whose stored memories are low-energy states. Given part of a pattern, the network slides downhill to the whole. The work helped revive neural networks, and Hopfield shared the 2024 Nobel prize in physics for it.

    › Sources (1)
    • Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences 79(8): 2554–2558.

Open problems

Where the map runs out

Open

Quantum spin liquids

Open as of 2026; several materials are strong candidates, but none is universally accepted.

In 1973 Philip Anderson proposed that in some magnets the spins never order, even at absolute zero, but form a fluctuating quantum superposition of paired states. Such a quantum spin liquid would have exotic properties, including excitations that carry a fraction of an electron's quantum numbers. Do real materials behave this way?

Why it is hard

A spin liquid is defined by what it lacks, namely order, so it is hard to prove one exists. Small amounts of disorder or weak extra interactions can mimic or destroy the signatures. The theoretical models are hard to solve except in special cases.

What resolving it unlocks

A new kind of quantum matter, possible routes to high-temperature superconductivity, and a medium for topologically protected quantum computing.

› Sources (2)
  • Anderson, P. W. (1973). Resonating valence bonds: a new kind of insulator? Materials Research Bulletin 8(2): 153–160.
  • Savary, L. & Balents, L. (2017). Quantum spin liquids: a review. Reports on Progress in Physics 80(1): 016502.

Further reading

  1. Mattis, D. C. (2006). The Theory of Magnetism Made Simple. World Scientific.

    An introduction to the theory of magnetism, with historical chapters.

  2. Blundell, S. (2001). Magnetism in Condensed Matter. Oxford University Press.

    A clear undergraduate textbook.

  3. Stein, D. L. & Newman, C. M. (2013). Spin Glasses and Complexity. Princeton University Press.

    An accessible account of spin glasses and their links to computing and biology.