PhysSandbox
Classical MechanicsWaves & SoundElectricity & MagnetismOptics & LightGravity & OrbitsLabs
🌙Astronomy & The Sky🌡️Thermodynamics🌍Biophysics, Fluids & Geoscience📐Math Visualization🔧Engineering🧪Chemistry

More from Chemistry

Other simulators in this category — or see all 48.

View category →
NewSchool

Orbital Shapes (Schematic)

2D |ψ|² colormap for s-, p-, and d-like angular patterns (pedagogical, not HF).

Launch Simulator
NewSchool

Particle in a 1D Box

Superposition of n=1 and n=2: time evolution of |Ψ|² and ⟨E⟩ (model units).

Launch Simulator
NewUniversity / research

Gaussian Wave Packet

Free spreading: σ(t) from dispersion with ℏ = m = 1; uncertainty intuition.

Launch Simulator
NewUniversity / research

Quantum Well Eigenstates (Box & HO)

Stationary ψ_n and |ψ_n|² for infinite square well or harmonic oscillator; optional phase animation (ℏ = 1).

Launch Simulator
NewUniversity / research

Rectangular Barrier Tunneling

Analytic transmission T(E) vs energy for a 1D barrier; tunneling below V₀ and resonances above (ℏ = m = 1).

Launch Simulator
NewSchool

Stern–Gerlach Beam (Cartoon)

Silver-like beam through an inhomogeneous B-field: atoms deflect to two detectors illustrating S_z = ±ℏ/2.

Launch Simulator
PhysSandbox

Interactive physics, chemistry, and engineering simulators for students, teachers, and curious minds.

Physics

  • Classical Mechanics
  • Waves & Sound
  • Electricity & Magnetism

Science

  • Optics & Light
  • Gravity & Orbits
  • Astronomy & The Sky

More

  • Thermodynamics
  • Biophysics, Fluids & Geoscience
  • Math Visualization
  • Engineering
  • Chemistry

© 2026 PhysSandbox. Free interactive science simulators.

PrivacyTermsContact
Home/Chemistry/Reaction Rate

Reaction Rate

Chemical kinetics explores the rates at which reactions proceed and the factors that influence them. This simulator focuses on the core principles of reaction rate laws and the temperature dependence of the rate constant, as described by the Arrhenius equation. It models the decomposition of a single reactant, A, into products under three distinct reaction orders: zero, first, and second. For each order, the simulator calculates and visually plots the concentration of A, [A], as a function of time, allowing direct comparison of the characteristic decay curves. The underlying mathematical models are the integrated rate laws: [A] = [A]_0 - kt (zero order), ln([A]) = ln([A]_0) - kt (first order), and 1/[A] = 1/[A]_0 + kt (second order). The rate constant, k, is not fixed; it is dynamically determined by the Arrhenius equation, k = A * exp(-E_a/(R T)), where A is the pre-exponential factor, E_a is the activation energy, R is the gas constant, and T is the absolute temperature. By adjusting E_a and T, users observe how the steepness of the [A] vs. time curve changes, directly linking molecular-scale energy barriers to macroscopic reaction speeds. A key simplification is the assumption of an elementary, irreversible reaction with a single reactant, isolating the core concepts from complications like reverse reactions, multi-step mechanisms, or multiple reactants. Interacting with this simulator, students learn to distinguish reaction order from molecularity, interpret the shapes of concentration-time plots, and quantitatively understand how temperature exponentially accelerates reaction rates through its effect on the fraction of molecules possessing sufficient energy to overcome the activation barrier.

Who it's for: High school and undergraduate chemistry students studying chemical kinetics, as well as educators seeking a dynamic tool to illustrate integrated rate laws and the Arrhenius equation.

Key terms

  • Arrhenius Equation
  • Reaction Rate
  • Rate Constant
  • Activation Energy
  • Reaction Order
  • Integrated Rate Law
  • Chemical Kinetics
  • Concentration-Time Curve

Particle tank

Pink = A · Blue = B (count ≈ [A]/[A]₀)
0 s

Live graphs

Rate law

1 mol/L
20 s

Rate constant k

500 K
75 kJ/mol
13 (log₁₀ s⁻¹)

Measured values

k (effective)1.4606e+5
−d[A]/dt at t = ½·window0.0000e+0 M/s
t₁/₂0.000 s

How it works

Explore A → B kinetics with a simple rate law. Turn on Arrhenius to see how temperature and activation energy change the rate constant k. A catalyst lowers the effective barrier (modeled here as a multiplier on k). Curves use closed-form solutions for 0th / 1st / 2nd order in [A].

Key equations

k = A e^(−Eₐ / RT) · Arrhenius (gas constant R = 8.314 J·mol⁻¹·K⁻¹)
0: [A]=[A]₀−kt | 1: [A]=[A]₀e^(−kt) | 2: 1/[A]=1/[A]₀+kt

Frequently asked questions

Why does doubling the concentration have different effects depending on the reaction order?
The reaction order defines the mathematical relationship between reactant concentration and rate. For a zero-order reaction, the rate is independent of concentration, so doubling [A] does not change the rate. For first-order, rate is directly proportional to [A], so doubling [A] doubles the rate. For second-order, rate is proportional to [A]^2, so doubling [A] quadruples the rate. This is a fundamental distinction between the molecularity of a reaction step and the empirically determined rate law.
What does the activation energy (E_a) actually represent in the particle model?
The activation energy is the minimum kinetic energy a molecule (or pair of colliding molecules) must possess for a reaction to occur upon collision. In the Arrhenius equation, a higher E_a means a smaller fraction of molecules in the population have energy >= E_a at a given temperature. This simulator simplifies the particle view; in reality, not every collision with sufficient energy leads to reaction, which is partly accounted for by the pre-exponential factor, A.
How accurate is the assumption of a single, irreversible reaction step?
It is a common and useful simplification for teaching core kinetics concepts. Many real-world reactions are more complex, involving reversible steps, intermediates, and multi-reactant systems. This model isolates the variables of order and temperature dependence. Understanding this idealized case is essential before analyzing more complicated reaction mechanisms.
Why is the effect of temperature on the rate constant so dramatic?
Because the rate constant depends exponentially on the inverse of temperature, k ∝ exp(-1/T). A small increase in T significantly increases the exponential term's value. This is due to the Boltzmann distribution: raising temperature increases the number of high-energy molecules much more than a simple linear relationship would predict. This explains why reaction rates can change drastically with modest temperature changes.