Potential Energy Surfaces from Electronic Energy

Stretch a hydrogen molecule by a fraction of an ångström and it snaps back. Stretch it too far and it falls apart into two atoms. Somewhere between those extremes lies the exact bond length nature has chosen. That choice is not an accident but the minimum of a curve. That curve, the electronic energy plotted against nuclear separation, is the single most important graph in molecular science. It is the mathematical object that turns a bare Schrödinger equation into everything a chemist means by "bond," "structure," and "reaction." Every ball-and-stick model, every infrared stretching frequency, every activation energy on a reaction-coordinate diagram is a statement about the shape of a potential energy surface (PES). The idea only becomes rigorous once nuclei and electrons are separated conceptually. This is exactly the content of the The Born-Oppenheimer Approximation. Because nuclei are thousands of times heavier than electrons, they move so slowly. The electrons continuously readjust to whatever nuclear positions are momentarily frozen. Solving the electronic Schrödinger equation at one frozen geometry gives one number, an electronic energy. Repeating that calculation at every possible geometry produces a function, Eel(R)E_{el}(R). Its graph is the potential energy surface. Nuclei then move as classical or quantum particles on this surface. This is the same way a marble rolls on a landscape whose contours were drawn in advance. This article builds the PES concept from the ground up. It shows how freezing nuclei produces a well-defined electronic energy at each geometry. It explains why that energy has a minimum at a finite bond length. It shows what determines the curvature, and hence the vibrational frequency, at that minimum. It also shows how simple analytic forms such as the Morse potential capture the essential physics with only three adjustable numbers. We treat diatomic molecules as the clean laboratory for these ideas. A single bond length reduces the surface to a single curve. That curve can be drawn, differentiated, and fit to real spectroscopic data. By the end you will be able to read a bonding curve like a chemist reads a titration curve. You will extract bond length, dissociation energy, force constant, and vibrational frequency directly from its shape. You will also see why the search for the minimum of this surface is the doorway to the The Variational Principle. This is the tool that makes finding that minimum computationally possible in the first place.

Key takeaways
  • Freezing the nuclei and solving the electronic Schrödinger equation at each fixed geometry produces a single number, Eel(R)E_{el}(R), at every geometry.
  • Plotting Eel(R)E_{el}(R) plus nuclear repulsion against nuclear separation gives the potential energy surface (PES); for a diatomic it is a single curve U(R)U(R).
  • The PES has a minimum at the equilibrium bond length ReR_e; the depth of the well below the separated-atom limit is the dissociation energy DeD_e.
  • The curvature of U(R)U(R) at ReR_e defines the force constant kk, which sets the vibrational frequency through ω=k/μ\omega = \sqrt{k/\mu}.
  • Simple closed forms — the harmonic (parabolic) and Morse potentials — approximate real PES curves well enough to extract ReR_e, DeD_e, and kk from spectra.
  • Key idea: the potential energy surface is the electronic energy re-expressed as a function of nuclear geometry, and its shape is molecular structure, bonding, and vibration all at once.

Where this lives today

Every geometry optimization run inside a quantum chemistry package — whether computing the structure of a new drug candidate, a battery electrolyte molecule, or a catalytic transition-metal complex — is, at its core, a search for a stationary point on a potential energy surface built exactly as described here, just in far more than one dimension. Modern electronic structure methods (Hartree-Fock, density functional theory, coupled cluster) supply EelE_{el} at a given geometry; software then walks along the multidimensional surface, computing gradients and curvatures (the multidimensional analogues of U′(R)U'(R) and U′′(R)U''(R)), until it finds a minimum corresponding to a stable molecular structure or a saddle point corresponding to a transition state. In drug design, comparing the PES of a small molecule bound inside a protein pocket versus free in solution is the computational essence of estimating binding affinity — the depth and shape of local minima on that combined surface determine which candidate molecules are predicted to bind tightly. In materials science, PES minima and their curvatures predict the elastic constants and phonon spectra of crystals, feeding directly into predictions of thermal conductivity and mechanical strength for battery materials and semiconductors. In combustion and atmospheric chemistry, locating saddle points (transition states) on multidimensional PESs, connecting reactant-side minima to product-side minima, is precisely how activation energies for reactions like ozone depletion or soot formation are computed before any experiment is run. In spectroscopy and astrochemistry, fitting observed rotational-vibrational transitions of interstellar molecules to Morse-like potentials remains the standard route to inferring bond lengths and force constants of species that can never be brought into a laboratory, from distant molecular clouds to planetary atmospheres. The entire enterprise of computational chemistry — force fields in molecular dynamics, ab initio geometry optimization, transition-state theory in reaction kinetics — is built on the premise introduced here: that a well-defined function Eel(R)E_{el}(R) (or its multidimensional generalization) exists, that nuclei move on it, and that its minima and saddle points carry all the chemical information a structure or a reaction mechanism requires.

:::quiz[In the Morse potential U(R)=De[1−e−a(R−Re)]2U(R) = D_e[1-e^{-a(R-R_e)}]^2, what does the parameter aa control, given fixed DeD_e?]

  • The dissociation energy directly
  • The equilibrium bond length directly
  • The curvature at the minimum (and hence the force constant), via k=2Dea2k = 2D_ea^2 ✓
  • The nuclear charge of the atoms

Ask the tutor: How does the variational principle guarantee that a computed electronic energy at a fixed geometry is never lower than the true ground-state energy, and why does that matter for finding the minimum of a PES?

The physical picture

Imagine holding two hydrogen nuclei apart with an imaginary clamp at a fixed distance RR. The two electrons in H₂ do not know or care that the nuclei are clamped; they instantaneously settle into whatever electronic wavefunction minimizes the energy for that particular RR. Solving the electronic Schrödinger equation

H^el ψel(r;R)=Eel(R) ψel(r;R)\hat{H}_{el}\,\psi_{el}(\mathbf{r};R) = E_{el}(R)\,\psi_{el}(\mathbf{r};R)

at this one clamped distance gives one number: Eel(R)E_{el}(R). Now move the clamp — shorten RR to squeeze the nuclei together, or lengthen it to pull them apart — and solve the electronic problem again. Each value of RR produces its own electronic energy. Collecting all of these numbers as a function of RR produces a smooth curve. Add the classical nuclear-nuclear repulsion ZAZBe2/(4πϵ0R)Z_AZ_Be^2/(4\pi\epsilon_0 R) (which costs nothing extra to compute once you know RR) and you obtain the total potential energy that governs nuclear motion,

U(R)=Eel(R)+ZAZBe24πϵ0R.U(R) = E_{el}(R) + \frac{Z_AZ_Be^2}{4\pi\epsilon_0 R}.

This U(R)U(R) is the potential energy surface for a diatomic molecule. It is not a surface in the everyday sense — with only one internal coordinate (RR) a diatomic's "surface" degenerates to a curve — but for a polyatomic molecule with NN atoms there are 3N−63N-6 internal coordinates (bond lengths, angles, dihedrals), and UU becomes a genuine multidimensional hypersurface. Every foundational feature, however, is already visible in the one-dimensional diatomic case, which is why it is the natural starting point. The shape of U(R)U(R) tells a complete story. At very large RR, the two atoms feel almost no interaction, and U(R)U(R) flattens out to the energy of two isolated, non-interacting atoms — call this the dissociation asymptote. As RR decreases from infinity, bonding orbitals begin to overlap constructively, electron density accumulates between the nuclei, and the energy drops: this is chemical bond formation. The energy keeps falling until, at some optimal separation ReR_e, the stabilization from shared electron density is exactly balanced against the cost of nuclear-nuclear and electron-electron repulsion pressing the atoms together. Push the nuclei closer than ReR_e and repulsion dominates violently — the curve rises steeply, almost like a wall, because squeezing two positively charged nuclear cores together, and cramming electron clouds into overlapping regions in violation of the Pauli principle, both cost enormous energy. This asymmetry — a slow flattening on the long-range side and a steep wall on the short-range side — is the single most universal feature of every bonding curve in chemistry. The minimum of U(R)U(R) therefore has direct physical meaning. Its position, ReR_e, is the equilibrium bond length — the number reported in every table of bond lengths. Its depth below the dissociation asymptote, called DeD_e, is the electronic dissociation energy: how much energy would be released bringing the atoms from infinite separation down to the bottom of the well (this differs slightly from the experimentally measured D0D_0, which includes the fact that even the lowest vibrational state has zero-point energy and sits above the bottom of the well, so D0=De−12ℏωD_0 = D_e - \tfrac{1}{2}\hbar\omega). The curvature of the well at its minimum — how sharply it turns upward — determines how stiff the bond is to stretching and compressing, and that stiffness is precisely what a vibrational spectrum measures.

Figure
A generic diatomic potential energy curve showing ReR_e, DeD_e, and the dissociation asymptote
R (nuclear separation) U(R) dissociation asymptote (atoms at rest, R → ∞) D_e R_e steep repulsive wall shallow long-range attraction

Near the bottom of the well, any smooth curve looks approximately like a parabola — this is just a Taylor expansion argument, true for essentially any smooth function near its minimum. That is why the simplest possible model of a chemical bond, the harmonic oscillator, works as well as it does for small-amplitude vibrations: locally, U(R)U(R) really is close to 12k(R−Re)2\tfrac12 k(R-R_e)^2. But a parabola never turns over — it rises forever — so it cannot describe dissociation. Real bonds break. A model that keeps the harmonic behavior near the minimum but flattens out correctly at large RR, and rises steeply (though not infinitely) at short RR, captures the full bonding curve; the Morse potential, developed in the derivations below, is the classic example.

Figure
Comparing the harmonic (parabolic) approximation to the full anharmonic Morse-type curve
R U(R) harmonic (parabolic) fit true anharmonic (Morse-like) curve R_e

The core ideas

The starting point is the clamped-nuclei electronic Schrödinger equation itself:

H^el(r;R) ψel(r;R)=Eel(R) ψel(r;R)\hat{H}_{el}(\mathbf{r};R)\,\psi_{el}(\mathbf{r};R) = E_{el}(R)\,\psi_{el}(\mathbf{r};R)

where:

  • H^el\hat{H}_{el} is the electronic Hamiltonian — kinetic energy of electrons plus electron-nuclear attraction plus electron-electron repulsion — evaluated with the nuclei held fixed at separation RR,
  • ψel(r;R)\psi_{el}(\mathbf{r};R) is the electronic wavefunction, a function of electron coordinates r\mathbf{r} that depends parametrically on RR,
  • Eel(R)E_{el}(R) is the electronic energy eigenvalue, a single number for each chosen RR.

Reading it: for every fixed value of the "dial" RR, this equation is solved as an ordinary time-independent eigenvalue problem in the electron coordinates only; RR never appears as a dynamical variable in this step, only as a parameter. The total potential felt by the nuclei adds the classical repulsion between nuclear point charges:

U(R)=Eel(R)+ZAZBe24πϵ0RU(R) = E_{el}(R) + \frac{Z_AZ_Be^2}{4\pi\epsilon_0 R}

where:

  • ZA,ZBZ_A, Z_B are the nuclear charges of the two atoms,
  • ee is the elementary charge, ϵ0\epsilon_0 the vacuum permittivity,
  • U(R)U(R) is the potential energy surface itself — the function nuclei actually move on.

Reading it: Eel(R)E_{el}(R) already contains all electronic effects (bonding, antibonding, exchange, correlation); the extra term is pure classical electrostatics between the nuclei, always positive and always repulsive, growing without bound as R→0R\to0. At the equilibrium geometry, the surface is stationary:

dUdR∣R=Re=0,d2UdR2∣R=Re=k>0\left.\frac{dU}{dR}\right|_{R=R_e} = 0, \qquad \left.\frac{d^2U}{dR^2}\right|_{R=R_e} = k > 0

where:

  • ReR_e is the equilibrium bond length,
  • kk is the force constant, the curvature of the well at its bottom.

Reading it: this is exactly the calculus condition for a minimum — zero slope, positive curvature — applied to the electronic-energy-plus-repulsion curve; it is the rigorous definition of "bond length" and "bond stiffness" in terms of the PES. Near ReR_e, Taylor-expanding U(R)U(R) and keeping only the quadratic term gives the harmonic approximation:

U(R)≈U(Re)+12k(R−Re)2U(R) \approx U(R_e) + \frac{1}{2}k(R-R_e)^2

where:

  • the linear term vanishes because dU/dR=0dU/dR=0 at the minimum,
  • kk is the same second derivative defined above.

Reading it: this is why every introductory treatment of molecular vibration starts with a spring; it is the mathematically inevitable local shape of any smooth potential minimum, not a special property of chemical bonds. Solving the nuclear Schrödinger equation with this harmonic potential (a textbook result, not re-derived here) gives vibrational energy levels

Ev=ℏω(v+12),ω=kμE_v = \hbar\omega\left(v+\frac12\right), \qquad \omega = \sqrt{\frac{k}{\mu}}

where:

  • v=0,1,2,…v = 0,1,2,\dots is the vibrational quantum number,
  • μ=mAmB/(mA+mB)\mu = m_Am_B/(m_A+m_B) is the reduced mass of the two nuclei,
  • ω\omega is the classical vibrational angular frequency of the harmonic oscillator equivalent to that bond.

Reading it: the force constant extracted from the curvature of the PES at ReR_e directly predicts the observed infrared or Raman stretching frequency — this is the empirical bridge between the abstract PES and a number you can read off a spectrometer.

Derivation AFrom the electronic energy curve to the harmonic force constant

Goal. Starting only from the definition of U(R)U(R) as electronic energy plus nuclear repulsion, show precisely how the curvature at the minimum becomes the force constant that appears in the vibrational Schrödinger equation, and connect it to an observable frequency.

Step 1 — Taylor-expand the exact PES about its minimum. Any potential U(R)U(R) that is smooth near ReR_e can be expanded as

U(R)=U(Re)+U′(Re)(R−Re)+12U′′(Re)(R−Re)2+16U′′′(Re)(R−Re)3+⋯U(R) = U(R_e) + U'(R_e)(R-R_e) + \frac{1}{2}U''(R_e)(R-R_e)^2 + \frac{1}{6}U'''(R_e)(R-R_e)^3 + \cdots

Since ReR_e is defined as the minimum of UU, the first derivative term vanishes identically: U′(Re)=0U'(R_e) = 0. Truncating after the quadratic term defines the harmonic approximation, and this is a controlled approximation only for small displacements ∣R−Re∣|R - R_e|; the cubic and higher terms encode anharmonicity, responsible for bond dissociation, which the harmonic term alone cannot describe.

Step 2 — Identify the force constant with the curvature. Define k≡U′′(Re)=d2U/dR2∣Rek \equiv U''(R_e) = d^2U/dR^2\big|_{R_e}. Physically this is a spring constant: displacing the bond by x=R−Rex = R - R_e produces a restoring force

F(x)=−dUdx=−kx,F(x) = -\frac{dU}{dx} = -kx,

which is exactly Hooke's law. The force constant is measured in energy per length squared (typically N/m or mdyn/Å), and it is entirely determined by how sharply the electronic-energy-plus-repulsion curve turns upward — a stiffer, more steeply curved well means a stronger, harder-to-stretch bond.

Step 3 — Insert the harmonic potential into the nuclear equation of motion. Once the Born–Oppenheimer separation has produced U(R)U(R), the nuclei move (quantum mechanically) under this potential, reduced to a one-body problem in the relative coordinate RR with reduced mass μ=mAmB/(mA+mB)\mu = m_Am_B/(m_A+m_B):

−ℏ22μd2χ(R)dR2+[U(Re)+12k(R−Re)2]χ(R)=E χ(R).-\frac{\hbar^2}{2\mu}\frac{d^2\chi(R)}{dR^2} + \left[U(R_e) + \frac12 k(R-R_e)^2\right]\chi(R) = E\,\chi(R).

This is precisely the quantum harmonic oscillator equation shifted by the constant U(Re)U(R_e) and centered at ReR_e instead of the origin.

Step 4 — Read off the frequency. The standard harmonic-oscillator solution gives evenly spaced levels

Ev=U(Re)+ℏω(v+12),ω=k/μ.E_v = U(R_e) + \hbar\omega\left(v + \frac12\right), \qquad \omega = \sqrt{k/\mu}.

The spacing between adjacent vibrational levels, ℏω\hbar\omega, is exactly what is measured (in wavenumbers, ν~=ω/2πc\tilde\nu = \omega/2\pi c) in an infrared or Raman spectrum. Thus a single second derivative taken from a computed or inferred PES translates, through nothing more than the reduced mass, into a number directly comparable to experiment.

Conclusion. The force constant is not an independent empirical parameter bolted onto the theory; it is the curvature of the electronic energy curve at its minimum, and the entire chain — electronic structure calculation → U(R)U(R) → U′′(Re)U''(R_e) → ω\omega — is a single, traceable line of reasoning from the Schrödinger equation to an observed spectral line.

Go deeper · Derivation B · 2 minBuilding the Morse potential from the boundary conditions a real bond must satisfy
Derivation BBuilding the Morse potential from the boundary conditions a real bond must satisfy

Goal. Construct a simple closed-form function that reproduces the essential shape of a real PES — finite well depth, correct curvature at the minimum, and proper dissociation at large RR — using only the requirements the physical picture demands.

Step 1 — List the required behavior. A physically sensible bonding curve U(R)U(R) must satisfy three conditions. First, as R→∞R\to\infty, U(R)→DeU(R)\to D_e measured from the bottom of the well (equivalently, U→0U\to 0 if we set the well bottom as the zero of energy and the asymptote at +De+D_e). Second, at R=ReR=R_e, UU has a minimum: U(Re)=0U(R_e)=0 (bottom of well) and U′(Re)=0U'(R_e)=0. Third, as R→0R\to0, U(R)U(R) should rise steeply (physically without bound, though the Morse form does not enforce true divergence, which is a known limitation addressed later).

Step 2 — Propose the Morse functional form. Morse's 1929 proposal was

U(R)=De[1−e−a(R−Re)]2,U(R) = D_e\left[1 - e^{-a(R-R_e)}\right]^2,

where aa is a positive constant with units of inverse length, controlling the width of the well. Check the asymptotic limit: as R→∞R\to\infty, the exponential e−a(R−Re)→0e^{-a(R-R_e)}\to 0, so U→De(1−0)2=DeU\to D_e(1-0)^2 = D_e, correctly recovering the flat dissociation asymptote. As R→ReR\to R_e, the bracket vanishes, so U(Re)=0U(R_e)=0, correctly placing the minimum at the bottom of the well.

Step 3 — Verify the minimum condition and extract the force constant. Differentiate:

dUdR=2Dea e−a(R−Re)[1−e−a(R−Re)].\frac{dU}{dR} = 2D_e a\, e^{-a(R-R_e)}\left[1-e^{-a(R-R_e)}\right].

At R=ReR=R_e the bracket [1−e0]=0[1-e^{0}]=0, so U′(Re)=0U'(R_e)=0 automatically — the construction guarantees a stationary point at ReR_e by design, not by accident. Differentiate again and evaluate at R=ReR=R_e (where e−a(R−Re)=1e^{-a(R-R_e)}=1):

d2UdR2∣Re=2Dea2.\left.\frac{d^2U}{dR^2}\right|_{R_e} = 2D_e a^2.

This identifies the force constant as

k=2Dea2⟹a=k2De.k = 2D_e a^2 \quad\Longrightarrow\quad a = \sqrt{\frac{k}{2D_e}}.

So the width parameter aa is fixed once kk (from vibrational spectroscopy) and DeD_e (from thermochemistry or spectroscopy) are both known — the Morse potential has exactly three physically meaningful parameters, DeD_e, ReR_e, and aa (equivalently kk), no more.

Step 4 — Solve the resulting nuclear Schrödinger equation (the essential extra feature beyond the harmonic case). Substituting the Morse potential into the nuclear radial equation is exactly solvable (a special property of this particular functional form) and yields anharmonic levels

Ev=ℏω(v+12)−ℏωxe(v+12)2,ωxe=ℏω24De,E_v = \hbar\omega\left(v+\frac12\right) - \hbar\omega x_e\left(v+\frac12\right)^2, \qquad \omega x_e = \frac{\hbar\omega^2}{4D_e},

where xex_e is the dimensionless anharmonicity constant. Unlike the harmonic ladder, these levels crowd together as vv increases and terminate at a finite maximum vv, beyond which the molecule dissociates — exactly the qualitative feature a parabola cannot reproduce.

Conclusion. Starting only from the physical requirements — correct dissociation limit, a genuine minimum, and matching curvature — an explicit three-parameter analytic PES can be built, and it automatically predicts both the correct harmonic frequency near the bottom of the well and the finite number of bound vibrational states before dissociation, a direct, checkable consequence of anharmonicity built into the curve's shape.

Worked examples

Example 1 — Foundational: extracting ReR_e, DeD_e, and kk conceptually from a tabulated (hypothetical) electronic energy scan. Suppose an electronic structure calculation on a diatomic molecule XY (not a real, symmetric textbook case — take masses mX=19.0m_X = 19.0 u, mY=35.0m_Y = 35.0 u, chosen asymmetrically) produces the following clamped-nuclei electronic energies plus nuclear repulsion, i.e., values of U(R)U(R) in units of 10−1910^{-19} J, at five bond lengths:

R (A˚):1.20, 1.30, 1.40, 1.50, 1.60R\ (\text{Å}):\quad 1.20,\ 1.30,\ 1.40,\ 1.50,\ 1.60
U(R) (10−19 J):−6.10, −6.55, −6.62, −6.40, −5.95U(R)\ (10^{-19}\,\text{J}):\quad -6.10,\ -6.55,\ -6.62,\ -6.40,\ -5.95

Step 1: locate the approximate minimum by inspection — the lowest value, −6.62×10−19-6.62\times10^{-19} J, occurs near R=1.40R=1.40 Å, so Re≈1.40R_e \approx 1.40 Å (a proper treatment would fit a parabola through the three points bracketing the minimum, which we do next). Step 2: fit a parabola through the three central points (1.30,−6.55)(1.30,-6.55), (1.40,−6.62)(1.40,-6.62), (1.50,−6.40)(1.50,-6.40), all in the stated units. Writing U(R)=A+B(R−1.40)+C(R−1.40)2U(R) = A + B(R-1.40) + C(R-1.40)^2 with RR in Å: At R=1.40R=1.40: U=A=−6.62U = A = -6.62. At R=1.30R=1.30 (ΔR=−0.10\Delta R = -0.10): −6.55=−6.62−0.10B+0.01C-6.55 = -6.62 -0.10B + 0.01C. At R=1.50R=1.50 (ΔR=+0.10\Delta R = +0.10): −6.40=−6.62+0.10B+0.01C-6.40 = -6.62 +0.10B + 0.01C. Subtracting the first from the second:

(−6.40)−(−6.55)=0.20B  ⟹  0.15=0.20B  ⟹  B=0.75 (10−19 J/A˚).(-6.40) - (-6.55) = 0.20B \implies 0.15 = 0.20B \implies B = 0.75\ (10^{-19}\text{ J/Å}).

Adding the two equations:

(−6.55)+(−6.40)=2(−6.62)+0.02C  ⟹  −12.95=−13.24+0.02C  ⟹  0.29=0.02C  ⟹  C=14.5 (10−19 J/A˚2).(-6.55)+(-6.40) = 2(-6.62) + 0.02C \implies -12.95 = -13.24 + 0.02C \implies 0.29 = 0.02C \implies C = 14.5\ (10^{-19}\text{ J/Å}^2).

The nonzero BB means the true minimum is not exactly at R=1.40R=1.40 Å but shifted slightly; the vertex of the parabola is at

ΔRmin⁡=−B2C=−0.752(14.5)=−0.0259 A˚,\Delta R_{\min} = -\frac{B}{2C} = -\frac{0.75}{2(14.5)} = -0.0259\ \text{Å},

so the refined equilibrium bond length is

Re=1.40−0.0259=1.374 A˚.R_e = 1.40 - 0.0259 = 1.374\ \text{Å}.

The corresponding minimum energy is

U(Re)=A−B24C=−6.62−(0.75)24(14.5)=−6.62−0.00970=−6.630×10−19 J.U(R_e) = A - \frac{B^2}{4C} = -6.62 - \frac{(0.75)^2}{4(14.5)} = -6.62 - 0.00970 = -6.630\times10^{-19}\ \text{J}.

Taking the dissociation asymptote (energy of separated, non-interacting X and Y atoms) as, say, U(∞)=−5.20×10−19U(\infty) = -5.20\times10^{-19} J (a value that would itself come from separate atomic calculations), the dissociation energy is

De=U(∞)−U(Re)=−5.20−(−6.630)=1.430×10−19 J=8.93 eV (order of magnitude typical of a strong covalent bond).D_e = U(\infty) - U(R_e) = -5.20 - (-6.630) = 1.430\times10^{-19}\ \text{J} = 8.93\ \text{eV (order of magnitude typical of a strong covalent bond).}

The force constant comes directly from the curvature coefficient CC, remembering U(R)=A+BΔR+CΔR2U(R)=A+B\Delta R + C\Delta R^2 means d2U/dR2=2Cd^2U/dR^2 = 2C:

k=2C=2(14.5×10−19 J/A˚2)=29.0×10−19 J/A˚2.k = 2C = 2(14.5\times10^{-19}\ \text{J/Å}^2) = 29.0\times10^{-19}\ \text{J/Å}^2.

Converting to SI (1 Å =10−10=10^{-10} m, so 1 Å−2=1020^{-2}=10^{20} m−2^{-2}):

k=29.0×10−19×1020 J/m2=290 J/m2=290 N/m.k = 29.0\times10^{-19}\times10^{20}\ \text{J/m}^2 = 290\ \text{J/m}^2 = 290\ \text{N/m}.

This is a physically reasonable single-bond force constant (typical range roughly 200–1000 N/m). This example shows explicitly how three raw numbers on a computed energy scan — a set of U(R)U(R) values, nothing more — become the three headline quantities every chemist quotes: bond length, bond energy, and bond stiffness.

Example 2 — Applied: predicting a vibrational frequency for HCl from a literature force constant, and checking the isotope effect. The force constant of HCl, obtained by exactly this parabola-fitting procedure applied to its measured (or computed) PES, is k=516.3k = 516.3 N/m, and Re=1.2746R_e = 1.2746 Å. Compute the fundamental vibrational wavenumber for 1^1H35^{35}Cl, using atomic masses mH=1.00783m_H = 1.00783 u and mCl=34.9689m_{Cl} = 34.9689 u (11 u =1.66054×10−27=1.66054\times10^{-27} kg). Step 1 — reduced mass:

μ=mHmClmH+mCl=(1.00783)(34.9689)1.00783+34.9689 u=35.243835.9767 u=0.97962 u.\mu = \frac{m_Hm_{Cl}}{m_H+m_{Cl}} = \frac{(1.00783)(34.9689)}{1.00783+34.9689}\ \text{u} = \frac{35.2438}{35.9767}\ \text{u} = 0.97962\ \text{u}.

Convert to kg:

μ=0.97962×1.66054×10−27 kg=1.62658×10−27 kg.\mu = 0.97962\times1.66054\times10^{-27}\ \text{kg} = 1.62658\times10^{-27}\ \text{kg}.

Step 2 — angular frequency:

ω=kμ=516.31.62658×10−27 s−1=3.1738×1029 s−1=5.6337×1014 s−1.\omega = \sqrt{\frac{k}{\mu}} = \sqrt{\frac{516.3}{1.62658\times10^{-27}}}\ \text{s}^{-1} = \sqrt{3.1738\times10^{29}}\ \text{s}^{-1} = 5.6337\times10^{14}\ \text{s}^{-1}.

Step 3 — convert to wavenumber (ν~=ω/2πc\tilde\nu = \omega/2\pi c, c=2.9979×1010c=2.9979\times10^{10} cm/s):

ν~=5.6337×10142π×2.9979×1010 cm−1=5.6337×10141.88365×1011 cm−1=2990.6 cm−1.\tilde\nu = \frac{5.6337\times10^{14}}{2\pi\times2.9979\times10^{10}}\ \text{cm}^{-1} = \frac{5.6337\times10^{14}}{1.88365\times10^{11}}\ \text{cm}^{-1} = 2990.6\ \text{cm}^{-1}.

This is very close to the experimental HCl fundamental (~2886 cm−1^{-1} observed, with the small discrepancy arising because the true anharmonic ωe\omega_e is slightly larger than the observed v=0→1v=0\to1 transition, which already includes anharmonic correction — exactly the effect built into the Morse treatment above). Step 4 — the isotope check (limiting-case verification). Repeat with deuterium, mD=2.0141m_D = 2.0141 u, keeping the same force constant kk (a good approximation since kk depends on electronic structure, essentially mass-independent):

μDCl=(2.0141)(34.9689)2.0141+34.9689 u=70.42736.983 u=1.9042 u=3.1626×10−27 kg.\mu_{DCl} = \frac{(2.0141)(34.9689)}{2.0141+34.9689}\ \text{u} = \frac{70.427}{36.983}\ \text{u} = 1.9042\ \text{u} = 3.1626\times10^{-27}\ \text{kg}.
ωDCl=516.33.1626×10−27=1.6324×1029=4.0403×1014 s−1\omega_{DCl} = \sqrt{\frac{516.3}{3.1626\times10^{-27}}} = \sqrt{1.6324\times10^{29}} = 4.0403\times10^{14}\ \text{s}^{-1}
ν~DCl=4.0403×10141.88365×1011=2144.6 cm−1.\tilde\nu_{DCl} = \frac{4.0403\times10^{14}}{1.88365\times10^{11}} = 2144.6\ \text{cm}^{-1}.

The ratio ν~HCl/ν~DCl=2990.6/2144.6=1.3945\tilde\nu_{HCl}/\tilde\nu_{DCl} = 2990.6/2144.6 = 1.3945, close to the expected μDCl/μHCl=1.9042/0.97962=1.9439=1.3942\sqrt{\mu_{DCl}/\mu_{HCl}} = \sqrt{1.9042/0.97962}=\sqrt{1.9439}=1.3942 (the tiny residual difference is rounding). This is exactly the isotope-shift argument used routinely to confirm vibrational mode assignments, and it works only because kk — the curvature of the electronic PES — does not depend on nuclear mass at all, a direct consequence of the Born–Oppenheimer separation.

Example 3 — Exam/competition level: locating a PES stationary point from an anharmonic (cubic-corrected) energy expression, and testing whether it is a true minimum. A computational PES scan around the minimum of a triatomic bond stretch (treated as an effective one-dimensional problem in RR, with all other coordinates relaxed) is fit to a quartic-truncated Taylor series about a trial point R0=1.55R_0 = 1.55 Å:

U(R)=U0+b1(R−R0)+b2(R−R0)2+b3(R−R0)3,U(R) = U_0 + b_1(R-R_0) + b_2(R-R_0)^2 + b_3(R-R_0)^3,

with, in units of 10−1910^{-19} J and Å, U0=−8.400U_0 = -8.400, b1=−0.960b_1 = -0.960, b2=11.20b_2 = 11.20, b3=−6.500b_3 = -6.500. Note b1≠0b_1 \neq 0: R0R_0 is not the true minimum, only a nearby trial geometry, so the task is to find the actual stationary point and classify it. Step 1 — differentiate and set to zero. Let x=R−R0x = R-R_0:

dUdR=b1+2b2x+3b3x2=−0.960+22.40x−19.50x2.\frac{dU}{dR} = b_1 + 2b_2x + 3b_3x^2 = -0.960 + 22.40x - 19.50x^2.

Setting this to zero:

19.50x2−22.40x+0.960=0.19.50x^2 - 22.40x + 0.960 = 0.

Apply the quadratic formula:

x=22.40±(22.40)2−4(19.50)(0.960)2(19.50)=22.40±501.76−74.8839.00=22.40±426.8839.00.x = \frac{22.40 \pm \sqrt{(22.40)^2 - 4(19.50)(0.960)}}{2(19.50)} = \frac{22.40\pm\sqrt{501.76 - 74.88}}{39.00} = \frac{22.40\pm\sqrt{426.88}}{39.00}.
426.88=20.661.\sqrt{426.88} = 20.661.

Two roots:

x1=22.40+20.66139.00=43.06139.00=1.1041 A˚,x2=22.40−20.66139.00=1.73939.00=0.04459 A˚.x_1 = \frac{22.40+20.661}{39.00} = \frac{43.061}{39.00} = 1.1041\ \text{Å}, \qquad x_2 = \frac{22.40-20.661}{39.00} = \frac{1.739}{39.00} = 0.04459\ \text{Å}.

Step 2 — classify each stationary point using the second derivative,

d2UdR2=2b2+6b3x=22.40−39.00x.\frac{d^2U}{dR^2} = 2b_2 + 6b_3x = 22.40 - 39.00x.

At x2=0.04459x_2 = 0.04459:

U′′(x2)=22.40−39.00(0.04459)=22.40−1.739=20.66 (10−19 J/A˚2)>0,U''(x_2) = 22.40 - 39.00(0.04459) = 22.40 - 1.739 = 20.66\ (10^{-19}\ \text{J/Å}^2) > 0,

a genuine local minimum. At x1=1.1041x_1 = 1.1041:

U′′(x1)=22.40−39.00(1.1041)=22.40−43.06=−20.66 (10−19 J/A˚2)<0,U''(x_1) = 22.40 - 39.00(1.1041) = 22.40 - 43.06 = -20.66\ (10^{-19}\ \text{J/Å}^2) < 0,

a local maximum (physically, this cubic-truncated fit is only valid locally; far from R0R_0 it is not a trustworthy extrapolation of the true PES, but within the fitted region it correctly signals a turning point). Step 3 — report the corrected equilibrium bond length and force constant:

Re=R0+x2=1.55+0.0446=1.5946 A˚,k=U′′(x2)=20.66×10−19 J/A˚2=206.6 N/m.R_e = R_0 + x_2 = 1.55 + 0.0446 = 1.5946\ \text{Å}, \qquad k = U''(x_2) = 20.66\times10^{-19}\ \text{J/Å}^2 = 206.6\ \text{N/m}.

This example is deliberately built with a nonzero linear term and an explicit cubic term so that neither the location of ReR_e nor the classification of the stationary point can be guessed by symmetry — both require solving the actual stationary-point equations, exactly as a real anharmonic PES fit demands, and exactly the kind of calculation that motivates the systematic geometry-optimization algorithms built on the variational principle.

Limiting cases, scope & common traps

SituationWhat happens to U(R)U(R)Consequence
R→∞R \to \inftyU(R)→U(R) \to constant (separated-atom energy)No force between atoms; defines DeD_e relative to well bottom
R→0R \to 0U(R)→+∞U(R) \to +\infty (true PES); Morse form saturates at finite heightNuclear-nuclear repulsion (and Pauli repulsion) dominate; the Morse approximation is known to fail quantitatively here
Near ReR_e, small amplitudeU(R)≈U(Re)+12k(R−Re)2U(R) \approx U(R_e) + \tfrac12k(R-R_e)^2Harmonic oscillator model valid; equal vibrational spacing ℏω\hbar\omega
Large vibrational quantum number vvAnharmonic (Morse) levels crowd together, spacing shrinksPredicts bond dissociation at finite vv; harmonic model wrongly predicts infinite bound levels
Excited electronic stateA different Eel(R)E_{el}(R) curve, often with different ReR_e, DeD_e, shapeElectronic transitions can be vertical (Franck–Condon) rather than adiabatic; PES for each state must be computed separately
Polyatomic moleculeUU becomes a function of 3N−63N-6 coordinates, a true multidimensional hypersurfaceMinima correspond to stable conformers/isomers; saddle points correspond to transition states
Breakdown of Born–Oppenheimer itselfElectronic states become nearly degenerate (avoided crossings, conical intersections)Single-surface picture fails; nuclear motion couples multiple electronic states

The chemist behind it

The mathematical shape used almost universally to model diatomic bonding curves is named for Philip M. Morse, an American physicist whose 1929 paper, "Diatomic Molecules According to the Wave Mechanics," proposed the exponential functional form still taught today. Morse was working at Princeton in the earliest years after Schrödinger's and Heisenberg's papers had established quantum mechanics, at a moment when physicists and chemists were racing to see whether the new theory could actually reproduce the spectroscopically observed vibrational structure of real molecules — band spacings, anharmonicity, dissociation limits — rather than merely offer qualitative bonding pictures. His key insight was mathematical economy: rather than solving the nuclear Schrödinger equation numerically for an arbitrary tabulated PES (a formidable numerical task in 1929, done by hand), he asked what functional form was both physically sensible (correct dissociation limit, a genuine minimum, finite curvature) and exactly solvable. The exponential-squared form he chose satisfies both demands simultaneously, an elegant piece of applied mathematics that remains in every physical chemistry course nearly a century later. Morse's later career moved well beyond diatomic spectroscopy — he became a central figure in the development of theoretical acoustics, underwater sound propagation during and after the Second World War, and operations research, eventually helping found the field that would become known as management science. But it is the single-parameter exponential curve from his 1929 paper, immortalizing the shape of the chemical bond in a closed analytical formula, that chemists invoke every time they fit a spectroscopic band system or sketch a bonding curve on a blackboard.

Origins · 1 minPhilip M. Morse and how this was discovered
PM
Philip M. Morse
1903–1985 · Princeton University, USA, in the immediate aftermath of the 1925–1926 formulation of quantum mechanics

Trained as a physicist at Princeton under Karl Compton, Morse turned the brand-new Schrödinger equation toward a concrete chemical problem — the vibrational spectrum of a diatomic bond — at a time when most physicists were still testing quantum mechanics against hydrogen-atom-level problems. His 1929 solution of the nuclear Schrödinger equation for what became known as the Morse potential gave chemists their first exactly solvable, physically realistic model of an anharmonic chemical bond, complete with a correct dissociation limit and finite number of bound vibrational states.

History
- 1926 — Schrödinger and Heisenberg establish wave and matrix mechanics, opening the possibility of solving molecular problems exactly.
- 1927 — Born and Oppenheimer publish the adiabatic separation of nuclear and electronic motion, providing the theoretical foundation for treating Eel(R)E_{el}(R) as a well-defined function of geometry.
- 1929 — Morse proposes the exponential potential now bearing his name, exactly solvable and reproducing observed anharmonic vibrational spacings.
- 1930s–1950s — Spectroscopists systematically fit observed band spacings to Morse and Dunham expansions, extracting ReR_e, DeD_e, and anharmonicity constants for hundreds of diatomics.
- 1960s onward — Digital computers make direct numerical solution of the electronic Schrödinger equation over full multidimensional coordinate grids routine, turning the PES from an analytic curve-fitting exercise into a first-principles computational object.
Is the potential energy surface the same thing as the total molecular energy?

No. The PES, U(R)U(R), is the energy available to the nuclei as a function of geometry — electronic energy plus nuclear-nuclear repulsion, computed with nuclei frozen at each point. It excludes the nuclear kinetic energy and any zero-point vibrational energy. The total energy of a real vibrating molecule in a given quantum state vv is U(Re)+ℏω(v+12)U(R_e) + \hbar\omega(v+\tfrac12) approximately (harmonic case), which always lies above the bottom of the well. The PES is the "landscape"; the actual molecule is a wavefunction spread out over that landscape, never a point sitting exactly at the minimum.

Why does the Born-Oppenheimer approximation have to hold before a PES even makes sense?

The whole concept of "electronic energy as a function of nuclear geometry" presupposes that electronic and nuclear motion can be treated as separate problems solved in sequence: freeze nuclei, solve for electrons, then let nuclei move on the resulting energy function. This sequential logic is exactly the content of the Born–Oppenheimer approximation, justified by the enormous mass ratio between nuclei and electrons (a proton is roughly 1836 times heavier than an electron). Without that separation, there would be no single well-defined function Eel(R)E_{el}(R) at all — electronic and nuclear motion would be inseparably entangled, and "bond length" would not even be a well-posed concept.

How is a potential energy surface actually computed in practice?

An electronic structure method — Hartree–Fock, density functional theory, or a correlated wavefunction method such as coupled cluster — is used to solve the clamped-nuclei electronic Schrödinger equation at one geometry, producing one energy value. This is repeated at many geometries (or, more efficiently, an analytic or numerical gradient and Hessian are computed at a single geometry and used to walk toward a stationary point using algorithms built on the variational principle). For a diatomic, a handful of points near the expected minimum, fitted to a polynomial or Morse form exactly as in the worked examples, is often sufficient; for polyatomics, dedicated geometry-optimization algorithms navigate the full multidimensional surface automatically.

What is the difference between a minimum and a saddle point on a PES, and why does it matter for reactions?

A minimum on a multidimensional PES has positive curvature in every internal coordinate direction — it is a stable structure (reactant, product, or intermediate) that a molecule can sit in indefinitely if undisturbed. A saddle point has positive curvature in every direction except exactly one, along which the surface curves downward on both sides — this single direction is the reaction coordinate, and the saddle point itself is the transition state connecting reactant and product minima. The energy difference between a reactant minimum and the connecting saddle point is the activation energy that governs reaction rate through transition-state theory.

Does every molecule have just one potential energy surface?

No — each electronic state (ground state, first excited state, and so on) has its own PES, since each corresponds to a different solution of the clamped-nuclei electronic Schrödinger equation. These surfaces can have different equilibrium geometries, different well depths, and even different numbers of minima. Electronic spectroscopy (UV-visible absorption, for instance) corresponds to a molecule jumping from one PES to another, often followed by vibrational relaxation on the new surface; regions where two surfaces come close together or cross (conical intersections) are where the single-surface Born–Oppenheimer picture itself breaks down.

Why is the Morse potential still used today when computers can calculate exact PES points directly?

Even with modern computational power, the Morse potential remains valuable as a compact, physically interpretable summary: three numbers (DeD_e, ReR_e, kk or aa) fully specify an entire bonding curve and its predicted vibrational ladder, letting chemists compare bond strengths and stiffnesses across many molecules at a glance. It is also still used as a starting model in molecular mechanics force fields, where bond-stretching terms are frequently represented by Morse-like functions (or truncated harmonic approximations for computational speed) rather than by repeating full electronic structure calculations at every simulation step.

How does the potential energy surface concept scale up from a two-atom molecule to something like a protein?

The mathematics is identical in principle: solve for the electronic energy at fixed nuclear positions, and let that energy depend on all 3N−63N-6 internal coordinates rather than just one bond length. For a protein with thousands of atoms this hypersurface is far too vast to sample exhaustively, so instead of scanning it point by point, computational methods use gradients and approximate force fields to roll downhill toward local minima (stable folded conformations) or use enhanced sampling to explore multiple basins. The core physical idea — nuclei moving on an energy landscape shaped by the electrons — remains exactly the same as in the two-atom case; only the dimensionality and the computational strategy change.

Before this

Where this leads