Juho-Pekka Laakso
Doctoral Researcher
Doctoral Researcher
T106 Chemical and Metallurgical Eng
Full researcher profile
https://research.aalto.fi/...
Sähköposti
juho-pekka.laakso@aalto.fi
Puhelinnumero
+358503380247
Tutkimusryhmät
- Chemical engineering, Väitöskirjatutkija
Julkaisut
MLR Data-Driven for the Prediction of Infinite Dilution Activity Coefficient of Water in Ionic Liquids (ILs) Using QSPR-Based COSMO Descriptors
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Journal of Chemical Information and Modeling
Towards the prediction of CPA pure parameters for imidazolium, ammonium, and pyridinium based-ionic liquids using QSPR study: A comparative study
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Chemical Engineering Science
Towards the prediction of infinite dilution activity coefficient (IDAC) of methanol in ionic liquids (ILs) using QSPR-based COSMO descriptors: Considering temperature effect using machine learning
Ali Ebrahimpoor Gorji, Juho-Pekka Laakso, Ville Alopaeus, Petri Uusi-Kyyny
2025
Fuel
Experimental and Cubic Plus Association Equation of State modelling study of phase equilibria of 1-Ethyl-3-methylimidazolium methanesulfonate + methanol + dimethyl carbonate + water binary and quaternary mixtures: The role of ionic liquids vapor pressure in modelling
Juho-Pekka Laakso, Behnaz Asadzadeh, Petri Uusi-Kyyny, Xiaodong Liang, Georgios M. Kontogeorgis, Ville Alopaeus
2025
Journal of Molecular Liquids
Liquid–liquid equilibrium and modelling insight: molecular interaction analysis of water + methanol + dimethyl carbonate + 1-ethyl-3-methylimidazolium methanesulfonate ternary systems
Juho-Pekka Laakso, Behnaz Asadzadeh, Petri Uusi-Kyyny, Ville Alopaeus
2025
Physical Chemistry Chemical Physics
Machine learning modeling of the CO2 solubility in ionic liquids by using σ-profile descriptors
Juho-Pekka Laakso, Ali Ebrahimpoor Gorji, Ville Alopaeus, Petri Uusi-Kyyny
2025
Chemical Engineering Science