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WKB BARRIER PENETRATION

Quantum Tunneling Probability & Barrier Transmission

Compute quantum tunneling transmission coefficients through rectangular potential barriers for electrons and scanning tunneling microscopes.

Interactive Calculator & Model

PRESETS:
Tunneling Transmission Probability T 1.25 × 10⁻⁴
Decay Attenuation Constant κ 8.87 × 10⁹ m⁻¹
STM Sensitivity (per 0.1 nm displacement) Current changes by ~ 5.9 ×
Classical Newtonian Comparison 0.00% (Forbidden Classically)

Physical Formula & Mathematical Principles

T approx 16 cdot (E / V₀) · (1 - E / V₀) · e^{-2κL};quad κ = sqrt{2m(V₀ - E)} / hbar

Classically, a particle with energy E < V₀ cannot cross a potential barrier. In quantum mechanics, the particle’s wavefunction decays exponentially inside the forbidden barrier, emerging on the other side with a nonzero transmission probability T. This enables Scanning Tunneling Microscopy (STM) to resolve individual atoms.

📐 Step-by-Step Worked Derivation

Analytical Solution

To understand the dimensional mechanics governing this physical scale, review this step-by-step mathematical derivation based on invariant universal constants:

Step 1: Fundamental Physical Invariants
ħ = 1.05457 × 10⁻³⁴ J·s (Reduced Planck) • c = 2.99792 × 10⁸ m/s (Speed of Light) • G = 6.67430 × 10⁻¹¹ m³/(kg·s²) (Gravitational Constant)
Step 2: Input Parameter Normalization
Particle Energy E (eV) = 2.0 • Barrier Height V₀ (eV) = 5.0 • Barrier Width L (Nanometers nm) = 0.5
Step 3: Dimensional Scaling & In-Browser Solution
Dimensional analysis maps energy, length, and temporal limits into invariant SI units with double-precision floating point accuracy.
Step 4: Primary Physical Outputs
Tunneling Transmission Probability T: 1.25 × 10⁻⁴ | Decay Attenuation Constant κ: 8.87 × 10⁹ m⁻¹ | STM Sensitivity (per 0.1 nm displacement): Current changes by ~ 5.9 × | Classical Newtonian Comparison: 0.00% (Forbidden Classically)

⚠️ 5 Fatal Theoretical & Physical Boundary Traps

In extreme physics, classical intuitions fail catastrophically. Avoid these 5 mathematical and relativistic traps:

1. Quantum Spacetime Breakdown at Planck Boundaries

At distances approaching the Planck length (1.616 × 10⁻³⁵ m) and durations near Planck time (5.391 × 10⁻⁴⁴ s), smooth differential Riemannian geometry completely dissolves into non-perturbative quantum spacetime foam. General relativity yields non-renormalizable infinities because concentrating probe energy into sub-Planck volumes collapses into micro-event horizons.

2. Lorentz Invariance & Apparent Superluminality Mirage

No particle, force carrier, or quantum information channel can exceed the vacuum speed of light c (2.99792 × 10⁸ m/s) in local inertial frames. Apparent superluminal phenomena—such as cosmological inflation expansion rates, quantum entanglement wave-function collapse, or astronomical relativistic jet scissor velocities—represent metric expansion or geometrical projections that transmit zero causal information.

3. Idealized Static Schwarzschild vs. Rotating Kerr Spin Metric

Treating real cosmic bodies as static, spherically symmetric Schwarzschild geometries neglects real angular momentum (a = J/M). Rotating Kerr black holes drag the surrounding fabric of spacetime (the Lense-Thirring frame-dragging effect), split the horizon into an outer event horizon and inner Cauchy horizon, and generate an active ergosphere from which energy can be extracted via the Penrose process.

4. Vacuum Polarization & Bekenstein Information Bound

Treating empty vacuum as absolute zero energy violates Heisenberg's uncertainty principle (ΔE · Δt ≥ ħ/2). Quantum vacuum fluctuations drive physical effects such as the Casimir force, Hawking evaporation, and Unruh thermal baths. Additionally, the holographic Bekenstein bound strictly limits maximum information entropy to a quarter of the bounding area in Planck units (S ≤ A / 4ℓ_P²).

5. Coordinate Time vs. Observer Proper Time Disconnect

Failing to differentiate between asymptotic coordinate time t and local observer proper time τ introduces catastrophic errors in relativistic telemetry. To a distant observer, an infalling object appears to freeze infinitely at the Schwarzschild horizon, whereas the infalling observer traverses the horizon in finite proper time, experiencing extreme tidal spaghettification.

Comparative Physical Benchmarks

Physical Scale / Entity Value Astrophysical Context
Scanning Tunneling Microscope (STM) Δz = 0.01 Å vertical resolution Invented by Binnig & Rohrer (1986 Nobel Prize)
Flash Memory Gate Oxide (SiO₂) Tunneling leakage at < 3 nm Limits miniaturization of silicon transistors
Nuclear Alpha Decay Tunnels through 30 MeV Coulomb wall Gamow tunneling mechanism
Enzyme Proton Tunneling Hydrogen transfer in biology Enzymes exploit quantum tunneling to speed reactions

Frequently Asked Questions

Why is the STM so exquisitely sensitive to distance?
Because tunneling current scales exponentially as I ∝ e^(-2κL). Increasing the tip-to-sample distance by just 0.1 nanometer (the width of an atom) drops the tunneling current by a factor of 10, enabling sub-angstrom vertical topographic resolution.
Does quantum tunneling take time?
The question of "tunneling time" (whether a particle takes time to cross the barrier) is one of the most controversial topics in modern quantum optics. Experiments with attosecond laser pulses suggest the transit is nearly instantaneous.
What physical constants and equations govern this Quantum Tunneling Calculator?
This calculation engine binds exact physical invariants: the speed of light in vacuum c (2.99792 × 10⁸ m/s), reduced Planck constant ħ (1.05457 × 10⁻³⁴ J·s), Newtonian gravitational constant G (6.67430 × 10⁻¹¹ m³/(kg·s²)), and Boltzmann constant k_B (1.38065 × 10⁻²³ J/K) according to CODATA recommendations.
Is this calculation performed locally or on an external computing cluster?
All equations execute 100% locally in your web browser memory using IEEE 754 64-bit double-precision floating-point mathematics. Zero inputs, research parameters, or coordinate solutions are transmitted to external servers.
How do relativistic and quantum limits affect the precision of these results?
Calculations retain maximum numerical precision up to machine epsilon (~2.22 × 10⁻¹⁶). For extreme domains approaching the Planck scale (ℓ_P, t_P) or event horizon boundaries, the outputs reflect standard semiclassical approximations within modern theoretical physics.
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