Skip to content

Latest commit

 

History

34 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

Chemistry-ID: Information Dynamics for Chemical Reaction Simulations

Information dynamics provides a unified computational architecture for chemical reaction simulations—integrating non-adiabatic dissociation (NaI), adiabatic dissociation (Cl₂), and formation (H₂) into a single abstract framework.


Overview

Information Dynamics reformulates chemical reactions as a three-element system:

Element Description Chemical Equivalent
Virtual Space Absolute rules defining allowed states Potential Energy Surfaces (PESs)
Real Space Observational data with uncertainty Initial wave packet distribution
Coupling Matrix Projection mechanism driving evolution Gradient flow / Landau-Zener transitions

The framework demonstrates that three distinct reaction types—non-adiabatic dissociation (NaI), adiabatic dissociation (Cl₂), and formation (H₂)—can be described with the same abstract architecture, enabling consistent parameter calibration and cross-reaction comparison.

Key features:

  • Single code framework for three reaction types
  • Velocity Verlet integrator with energy conservation
  • Landau-Zener surface hopping for non-adiabatic transitions
  • Multi-ensemble statistics for robust error estimation
  • Parallel grid scanning for parameter calibration

Quick Start

Run all three simulations

# NaI photodissociation (default parameters: De=3.30 eV, V12=0.034 eV)
cd NaI_photodissociation
python nai_photodissociation.py

# Cl₂ photodissociation
cd ../Cl2_photodissociation
python cl2_photodissociation.py

# H₂ formation (threshold behavior)
cd ../H2_formation
python h2_formation.py

Run the NaI parameter scan

cd NaI_photodissociation
python nai_photodissociation_sensitivityscan.py

This performs a 2D grid scan over:

  • De_ionic: 2.8–3.4 eV (step 0.1 eV)
  • V12 (coupling): 0.020–0.034 eV (step 0.002 eV)
  • Each point: 3 ensembles × 300 trajectories (coarse) or 5 × 2000 (refined)

Results

1. NaI Photodissociation

Model: Non-adiabatic, two crossing PESs

  • Virtual space: Ionic state (Morse well, $D_e=3.30$ eV, $R_0=2.5$ Å) + covalent state (repulsive wall + linear descent)
  • Real space: Gaussian wavepacket ($\sigma_R=0.15$ Å), initial outward velocity $\bar{v}=5.0$ Å/ps, initial state: covalent (repulsive branch)
  • Coupling matrix: Landau-Zener probability ($V_{12}=0.034$ eV)

Result:

  • Dissociation yield: 65.3% ± 1.5%
  • Matches Zewail's experimental value: 65%
Parameter Value
$D_e$ (well depth) 3.30 eV
$V_{12}$ (electronic coupling) 0.034 eV
Simulated yield 65.3% ± 1.5%
Experimental yield (Zewail) ~65%

Figures:

Figure Description
nai_potentials.png Potential energy surfaces (ionic in red, covalent in blue)
nai_trajectories.png Example trajectories (red=ionic, blue=covalent)
2d_scan_heatmap_extended.png 2D parameter scan: yield vs. $D_e$ and $V_{12}$
2d_scan_contour_extended.png Contour plot of the same scan

The system is initially prepared on the covalent (repulsive) state, corresponding to laser excitation. At the crossing ($R_c=6.9$ Å), a Landau-Zener transition may populate the ionic (bound) state. Trajectories that hop to ionic are trapped; those remaining on covalent dissociate.


2. Cl₂ Photodissociation

Model: Adiabatic, single repulsive PES

  • Virtual space: Exponential repulsive potential $V(R) = 4.0\exp[-2.0(R-1.98)]$ eV
  • Real space: Gaussian wavepacket ($\sigma_R=0.05$ Å), zero initial velocity
  • Coupling matrix: Gradient flow (Velocity Verlet)

Result:

  • Dissociation yield: 100%
  • Mean relative kinetic energy: 3.84 ± 0.39 eV (1.92 eV per fragment)
Quantity Value
Dissociation yield 100%
Mean relative kinetic energy 3.84 ± 0.39 eV
Mean kinetic energy per fragment 1.92 ± 0.20 eV
Literature range 3.5–4.0 eV (total)

Figures:

Figure Description
cl2_potential.png Exponential repulsive potential
cl2_kinetic_energy.png Fragment kinetic energy distribution

3. H₂ Formation

Model: Attractive potential, bound state formation

  • Virtual space: Morse potential ($D_e=4.746$ eV, $\beta=1.942$ Å⁻¹, $R_0=0.741$ Å)
  • Real space: Fixed bond length at equilibrium, scanning initial outward velocity (0–600 Å/ps)
  • Coupling matrix: Gradient flow (Velocity Verlet)

Result:

  • $E_{\text{tot}} < 0$ eV: binding probability = 1.00 (trapped in Morse well)
  • $E_{\text{tot}} > 0$ eV: binding probability drops to 0 (dissociation)
  • Sharp transition at the dissociation threshold
Condition Binding Probability
$E_{\text{tot}} < D_e$ 1.00 (bound)
$E_{\text{tot}} > D_e$ 0.00 (dissociated)

Figures:

Figure Description
h2_formation_prob.png Binding probability vs. initial velocity (threshold behavior)

License

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License .

You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license
  • NonCommercial — You may not use the material for commercial purposes

For more information: https://creativecommons.org/licenses/by-nc/4.0/

About

Information dynamics provides a unified mathematical language for seemingly independent subdisciplines of chemistry.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages