Update Pt(111) surface thermo library with NOx chemistry and consistent DFT references#716
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Regression Testing ResultsWARNING:root:Initial mole fractions do not sum to one; normalizing. Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:54 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Failed Edge Comparison ❌Original model has 106 species. Non-identical thermo! ❌
Identical thermo comments: Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:59 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Failed Edge Comparison ❌Original model has 214 species. DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:03 nitrogen Passed Core Comparison ✅Original model has 41 species. nitrogen Failed Edge Comparison ❌Original model has 133 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(O2s-CdN3d) + group(N3d-OCd) + group(Cd-HN3dO) + ring(oxirene) + radical(CdJ-NdO) Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:45 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Regression test sulfur:Reference: Execution time (DD:HH:MM:SS): 00:00:00:40 sulfur Passed Core Comparison ✅Original model has 27 species. sulfur Failed Edge Comparison ❌Original model has 89 species. DetailsObservables Test Case: SO2 ComparisonThe following observables did not match: ❌ Observable species O=S=O varied by more than 0.100 on average between old model SO2(15) and new model SO2(15) in condition 1.
sulfur Failed Observable Testing ❌Regression test superminimal:Reference: Execution time (DD:HH:MM:SS): 00:00:00:25 superminimal Passed Core Comparison ✅Original model has 13 species. superminimal Passed Edge Comparison ✅Original model has 18 species. Regression test RMS_constantVIdealGasReactor_superminimal:Reference: Execution time (DD:HH:MM:SS): 00:00:02:18 RMS_constantVIdealGasReactor_superminimal Passed Core Comparison ✅Original model has 13 species. RMS_constantVIdealGasReactor_superminimal Passed Edge Comparison ✅Original model has 13 species. DetailsObservables Test Case: RMS_constantVIdealGasReactor_superminimal Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! RMS_constantVIdealGasReactor_superminimal Passed Observable Testing ✅Regression test RMS_CSTR_liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:30:23 RMS_CSTR_liquid_oxidation Failed Core Comparison ❌Original model has 35 species. RMS_CSTR_liquid_oxidation Failed Edge Comparison ❌Original model has 107 species. DetailsObservables Test Case: RMS_CSTR_liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! RMS_CSTR_liquid_oxidation Passed Observable Testing ✅beep boop this comment was written by a bot 🤖 |
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I have run new DFT calculations on nitrogen containing adsorbates as well as reran DFT calculation on existing nitrogen containing adsorbates in this library. This was done with a set of DFT settings consistent with the settings used on the hydrocarbons. I compiled the new DFT results along with @bjkreitz's results into a python readable file, and used the new workflow for computing adsorbate thermochemistry as found here.
All of the data files used along with the script I used to generate the new library can be found here:
thermo_PR_data.zip
After looking at the diff, I see that the NASA7 polynomials changed for nitrogen containing adsorbates as expected and remained mostly the same for the hydrocarbon species. The two species that change noticeably are: CO2X and CO3X. This is due to a correction @bjkreitz made in #587. I will leave it as an open question to reviewers if we should use the consistent BEEF-vdW dataset even though it over binds these species, or if we should make an exception for them.