“Know how to solve every problem that has been solved.” “What I cannot create, I do not understand.” — Richard Feynman

What gets measured, what gets computed in condensed matter

Solid State Physics

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Condensed matter has more techniques on both sides than almost any other field — dozens of experimental probes and as many computational methods, partly because the field spans non-interacting band theory through strongly-correlated Mott insulators and superconductors. The question, as on the other quantities pages, is which numbers a condensed-matter physicist actually uses, and how those numbers correspond to what a diffractometer, an ARPES beamline, a tunneling microscope, or a SQUID magnetometer measures.

What an experiment measures

Four broad categories, each with its dominant instrumental technique(s):

1. Structural / crystallographic

X-ray diffraction (XRD) and neutron diffraction give lattice constants, crystal symmetry, atomic positions in the unit cell, and through diffraction-pattern temperature dependence, phase transitions. Low-energy electron diffraction (LEED) does the same for surfaces. X-ray absorption fine structure (EXAFS) gives local atomic coordination — useful when crystallinity is poor. The output is a 3D atomic structure with bond lengths typically known to Å.

2. Electronic structure (occupied and unoccupied)

Angle-resolved photoemission (ARPES) is the flagship technique: shine photons at a sample, measure the energy and momentum of emitted electrons, reconstruct the occupied band structure directly. Modern ARPES can resolve to ~1 meV and ~0.01 Å⁻¹. Inverse photoemission (IPES) does the same for unoccupied bands above the Fermi level. Scanning tunneling microscopy (STM) gives the local DOS at the sample surface; scanning tunneling spectroscopy (STS) gives , revealing energy gaps, impurity states, quasiparticle interference. X-ray photoelectron spectroscopy (XPS) probes core levels and chemical state.

3. Transport and dynamical response

Resistivity , Hall coefficient , and thermopower (Seebeck coefficient ) probe charge and heat transport. Optical reflectivity / ellipsometry gives the complex dielectric function , from which the optical conductivity follows. Inelastic neutron scattering (INS) measures the dynamic structure factor — phonon dispersion, magnon dispersion, paramagnon spectra. Inelastic X-ray scattering (IXS) and resonant inelastic X-ray scattering (RIXS) probe charge and orbital excitations. Specific heat integrates the full excitation density of states.

4. Magnetic and superconducting

Magnetization and magnetic susceptibility from SQUID magnetometry. Neutron magnetic diffraction determines magnetic structure (FM, AFM, helical, …); polarized inelastic neutron scattering gives spin-wave dispersion . Muon spin rotation (μSR) measures local magnetic fields. NMR Knight shift probes the local spin susceptibility. Critical temperature , superconducting gap , and critical field characterize a superconductor; tunneling spectroscopy reads directly as the DOS gap.

What a calculation produces

The condensed-matter method zoo is larger than the quantum-chemistry one because of strong correlation. Here are the headline computable quantities, grouped by method family:

Equilibrium structure and total energy

From DFT in a plane-wave or muffin-tin basis: total energy as a function of atomic positions and lattice parameters. Minimize to get the equilibrium lattice constant, bulk modulus, elastic constants, and energetic stability of competing crystal structures.

Band structure and density of states

Solve the Kohn-Sham equations at each in the Brillouin zone: . The set of across the BZ is the band structure; is the density of states. DFT systematically underestimates band gaps; GW corrects this.

Optical response

Dielectric function from linear-response TDDFT (Casida-style for clusters; matrix-free Liouville-Lanczos for solids). For materials with strong excitonic effects (insulators, semiconductors), the Bethe-Salpeter equation (BSE) on top of GW captures bound electron-hole pairs that TDDFT-LDA misses.

Phonons and electron-phonon coupling

Density-functional perturbation theory (DFPT) computes the second derivative of the total energy with respect to atomic displacements at each : the dynamical matrix, whose eigenvalues are phonon frequencies . Mixed second derivatives give the electron-phonon coupling , which feeds Eliashberg theory for superconductivity.

Quasiparticle and many-body spectra

The GW approximation computes self-energy and corrects DFT band energies to proper quasiparticle energies. DMFT (dynamical mean-field theory) maps a strongly-correlated lattice problem onto a self-consistent Anderson-impurity problem, solved by ED, CT-QMC, or NRG; the output is the local spectral function and the lattice self-energy.

Magnetism and superconductivity

Magnetization and magnetic structure from spin-polarized DFT or DFT+U. Exchange constants mapped onto a Heisenberg model from total-energy comparisons, then solved by QMC / DMRG / linear spin-wave theory. Superconducting from BCS / Eliashberg with electron-phonon coupling from DFPT, or from solving a Migdal-Eliashberg integral equation.

The bridge

Row by row, experimental observable to computed quantity:

Experimental observable Model-side counterpart Typical accuracy / notes
Lattice constant (XRD, neutron diffraction) Equilibrium volume from DFT total-energy minimization LDA ~1% too small; GGA ~1% too large; hybrid functionals roughly correct
Bulk modulus / elastic constants Second derivatives of wrt strain Within ~5% for routine DFT
Band structure (ARPES) DFT eigenvalues; GW quasiparticle corrections DFT band gaps ~50% too small; GW gives ~0.1 eV accuracy
Density of states (STM/STS, photoemission) BZ integral of band structure Same DFT/GW caveats as bands
Optical conductivity Linear response from TDDFT / BSE / Liouville-Lanczos BSE captures excitons; TDDFT-LDA misses them
Phonon dispersion (INS) DFPT dynamical matrix eigenvalues Few-percent agreement for harmonic phonons
Specific heat Phonon DOS + electronic DOS at integrated thermally Low-T behavior diagnoses Fermi liquid / non-Fermi liquid
Resistivity Boltzmann transport + DFPT electron-phonon coupling Demanding; T-dependence sensitive to scattering details
Magnetic susceptibility Spin-polarized DFT or DMFT spin response Localized-moment systems usually need DFT+U or DMFT
Spin-wave / magnon dispersion (polarized INS) Linear spin-wave theory on mapped Heisenberg model Exchange constants from total-energy mapping
Dynamic structure factor (INS, IXS, RIXS) Linear response from TDDFT or DMFT spectral function Same Lanczos+CF machinery as optical conductivity
Superconducting and gap Eliashberg / Migdal + DFPT BCS-like superconductors get within ~30%; unconventional needs DMFT/QMC

Which method for which quantity

Condensed matter's method landscape is bigger than chemistry's because strong correlation, finite temperature, and lattice symmetry add axes. Pick the method to match the physics:

Method Best for Doesn't handle Cost / scope
DFT (LDA, GGA, hybrids; plane-wave or LAPW) Structure, total energies, bulk properties, weakly-correlated band structure Band gaps (systematically too small); strongly correlated / electrons; van der Waals (without correction) ; routine for hundreds of atoms / cell
DFT+U Mott insulators with localized or electrons not known a priori; broken-symmetry choices arbitrary Same as DFT; ad hoc but cheap
GW Quasiparticle band structure; proper band gaps Expensive; large systems need careful convergence ; up to ~100 atoms / cell
BSE on top of GW Optical absorption with excitons (insulators, semiconductors) Same cost as GW; metallic systems Like GW
TDDFT / Liouville-Lanczos Optical conductivity, EELS, plasmons in metallic and weakly excitonic solids Strong excitons (use BSE); double excitations; charge transfer Lanczos+CF: per matvec ×
DFPT (density functional perturbation theory) Phonons, electron-phonon coupling, dielectric / Born effective charge Anharmonic phonons (need finite-displacement methods) per -point
DMFT (with ED / CT-QMC / NRG impurity solvers) Strongly correlated lattice systems: Mott, heavy fermion, Kondo Spatial fluctuations (use cluster DMFT, DCA); first-principles materials specificity (use DFT+DMFT) Impurity-solver-dominated; CT-QMC scales with temperature
Lattice DMRG / MPS methods 1D quantum lattice models, ground states + dynamics 2D+ in general (some 2D progress); fermion sign in some cases Exponential in bond dimension; near-exact in 1D
Quantum Monte Carlo (DMC, AFQMC, CT-QMC) Benchmark electronic structure; lattice models; impurity solvers Fermion sign problem in 2D+ for repulsive Hubbard, frustrated magnets Stochastic; polynomial scaling but heavy constants
Exact diagonalization (small lattices) Spectra of small clusters; benchmarks; impurity solvers for DMFT Combinatorial wall ~16-20 sites for Hubbard Lanczos on giant sparse matrix; up to dimensions
BCS / Eliashberg / Migdal Conventional (phonon-mediated) superconductors Unconventional pairing (high-, heavy fermion) Mean-field + DFPT input; cheap once is computed

One-sentence summary

A condensed-matter calculation almost always answers "what does an ARPES, neutron-scattering, transport, optical, or NMR experiment measure?" — and despite the field's method zoo being bigger than chemistry's or nuclear's, the menu of observables is small enough to fit on this page. Pick the experimental quantity, find its row in the bridge table, choose a method that matches both the row and the correlation regime of your material, and run.

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