Sample simulation files underlying the publication: "Prediction of Thermochemical Properties of Long-Chain Alkanes Using Linear Regression: Application to Hydroisomerization"
DOI: 10.4121/f905ae7e-2950-4a9b-91b4-b592e4c788e9
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Sample simulation files for "Prediction of Thermochemical Properties of Long-Chain Alkanes Using Linear Regression: Application to Hydroisomerization". Please read the README file for more information, and refer to the main manuscript for more details.
The training data set for the thermochemical properties of all isomers ranging from C1to C10 obtained from Scott's tables are listed in Thermochem_properties_C1-C10_isomers_Scotts_tables.xlsx. The Python script for the linear regression model is provided in Python_script_linear_regression.py. Thermochem_properties_C1-C14_linear_regression.xlsx contains the predicted thermo-chemical properties of all isomers till C14 molecules with temperatures ranging from (0−1000) K. The coefficients of the occurrences of the second order groups obtained using linear regression and the corresponding temperature dependent quadratic polynomial fits are also listed in this file. The reaction equilibrium distribution data of hydroisomerization of C10 and C14 molecules in the gas phase and MTW-type zeolite at 500 K are tabulated in in this excel file.
History
- 2025-03-20 first online, published, posted
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4TU.ResearchDataFormat
worksheet/xlsx, script/pyAssociated peer-reviewed publication
Prediction of Thermochemical Properties of Long-Chain Alkanes Using Linear Regression: Application to HydroisomerizationOrganizations
TU Delft, Faculty of Mechanical Engineering, Department of Process and Energy, Engineering ThermodynamicsDATA
Files (4)
- 1,104 bytesMD5:
fabc491d517dd499a8af9e7243d7269d
README.txt - 33,571 bytesMD5:
8430037923fac29718c266fbd90c9a74
Python_script_linear_regression.py - 154,200 bytesMD5:
c3e105b8a23eb2818ee3f55ef3f6d204
Thermochem_properties_C1-C10_isomers_Scotts_tables.xlsx - 2,871,451 bytesMD5:
5ab4c6b23d69c2026964e6f70fa105d3
Thermochem_properties_C1-C14_linear_regression.xlsx -
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