Ethane Molecular Energy Relaxation in High-Pressure Rare Gases

We use two different sets of molecular dynamics simulations to calculate the rotational and vibrational energy relaxation of C<sub>2</sub>H<sub>6</sub> in Ar bath gas over a pressure range of 10-400 atm and at temperatures of 300 and 800 K. C<sub>2</sub>H<sub>6</sub> is instantaneously excited by 80 kcal/mol randomly distributed into both vibrational and rotational modes. The first set of three simulations modifies the potential energy surface by eliminating attractive potentials between Ar-Ar or between Ar-C<sub>2</sub>H<sub>6</sub> or between both Ar-Ar and Ar-C<sub>2</sub>H<sub>6</sub>. In all three simulations, the vibrational and rotational relaxation rates decrease, implying the presence of an <i>n</i>-mer or multiple collision partners in the high-pressure dynamics. The second set of simulations on the unmodified potential energy surface involves 208 trajectories at 300 K and at 5 pressures (from 75 to 400 atm), where all atomic and molecular positions were saved every 0.05 ps or 20,001 "snapshots" for the full 1,000 ps simulation time. To this archive, we applied ChemNetwork software to tag each snapshot with the nature and number of Ar species in close interactions with C<sub>2</sub>H<sub>6</sub> that are primarily responsible for vibrational relaxation. We make the approximation that each snapshot samples a "collision event" whose vibrational energy change is that energy's average over the current and subsequent snapshot minus that energy's average over the current and previous snapshot. We show how this approximation leads to the decomposition of the vibrational relaxation rate into per-time or per-collision rates tagged for specific collision types. This analysis shows the pressure-driven importance of both multiple independent Ar species and larger Ar species in C<sub>2</sub>H<sub>6</sub> vibrational relaxation. Surprisingly, this analysis also shows the role of weak collisions, i.e., snapshots with no close C<sub>2</sub>H<sub>6</sub> interactions, which decline in frequency with pressure but increase in effectiveness. The modified potential and unmodified potential sets of simulations indicate that the vibrational relaxation rate's high-pressure curvature away from linear pressure dependence is due to the growth of larger and multiple collision partners whose effectiveness does not linearly grow with pressure.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry A
Published
2025-04-25
DOI
https://doi.org/10.1021/acs.jpca.5c00055
Primary Topic
Gas Dynamics and Kinetic Theory
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethane Molecular Energy Relaxation in High-Pressure Rare Gases

Chad R. Lazarock, Zackary R. Hren, Albert F. Wagner, Luis A. Rivera−Rivera et al.
3 links
The Journal of Physical Chemistry A
Gas Dynamics and Kinetic Theory
article

Ethane Molecular Energy Relaxation in High-Pressure Rare Gases

Chad R. Lazarock, Zackary R. Hren, Albert F. Wagner, Luis A. Rivera−Rivera, Tasha A. Vincent
article en

Abstract

We use two different sets of molecular dynamics simulations to calculate the rotational and vibrational energy relaxation of C<sub>2</sub>H<sub>6</sub> in Ar bath gas over a pressure range of 10-400 atm and at temperatures of 300 and 800 K. C<sub>2</sub>H<sub>6</sub> is instantaneously excited by 80 kcal/mol randomly distributed into both vibrational and rotational modes. The first set of three simulations modifies the potential energy surface by eliminating attractive potentials between Ar-Ar or between Ar-C<sub>2</sub>H<sub>6</sub> or between both Ar-Ar and Ar-C<sub>2</sub>H<sub>6</sub>. In all three simulations, the vibrational and rotational relaxation rates decrease, implying the presence of an <i>n</i>-mer or multiple collision partners in the high-pressure dynamics. The second set of simulations on the unmodified potential energy surface involves 208 trajectories at 300 K and at 5 pressures (from 75 to 400 atm), where all atomic and molecular positions were saved every 0.05 ps or 20,001 "snapshots" for the full 1,000 ps simulation time. To this archive, we applied ChemNetwork software to tag each snapshot with the nature and number of Ar species in close interactions with C<sub>2</sub>H<sub>6</sub> that are primarily responsible for vibrational relaxation. We make the approximation that each snapshot samples a "collision event" whose vibrational energy change is that energy's average over the current and subsequent snapshot minus that energy's average over the current and previous snapshot. We show how this approximation leads to the decomposition of the vibrational relaxation rate into per-time or per-collision rates tagged for specific collision types. This analysis shows the pressure-driven importance of both multiple independent Ar species and larger Ar species in C<sub>2</sub>H<sub>6</sub> vibrational relaxation. Surprisingly, this analysis also shows the role of weak collisions, i.e., snapshots with no close C<sub>2</sub>H<sub>6</sub> interactions, which decline in frequency with pressure but increase in effectiveness. The modified potential and unmodified potential sets of simulations indicate that the vibrational relaxation rate's high-pressure curvature away from linear pressure dependence is due to the growth of larger and multiple collision partners whose effectiveness does not linearly grow with pressure.

The Journal of Physical Chemistry AVol. 129(18)
Argonne National Laboratory (US), Ferris State University (US)
National Science Foundation, American Chemical Society Petroleum Research Fund, Basic Energy Sciences
Affordable and clean energy
Openalex Percentile: Top 88%
Gas Dynamics and Kinetic Theory
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.