P
Pranesh Matheswaran
Researcher at Universiti Teknologi Petronas
Publications - 9
Citations - 108
Pranesh Matheswaran is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Ionic liquid & Solubility. The author has an hindex of 4, co-authored 8 publications receiving 73 citations.
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Overview of Activity Coefficient of Thiophene at Infinite Dilution in Ionic Liquids and their Modeling Using COSMO-RS
TL;DR: In this paper, the authors evaluated the prediction of the activity coefficient (γs∞) at infinite dilution in several classes of ILs using the conductor-like screening model for real solvents (COSMO-RS), a model based on unimolecular quantum chemistry calculations.
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Synthesis, thermophysical properties and COSMO-RS study of DBU based protic ionic liquids
TL;DR: In this paper, a new series of DBU-based protic ionic liquids has been synthesized by 1H NMR and 13C NMR, and the neat ILs were used to determine thermophysical properties namely density (ρ), viscosity (η) surface tension (γ) at various temperature ranges and atmospheric pressure (0.1
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A comprehensive study on the impact of chemical structures of ionic liquids on the solubility of ethane
TL;DR: In this article, the authors measured and predicted the solubility of ethane in 16 commercial ionic liquids (ILs) at four different temperatures and at pressures up to 2 MPa using the conductor-like screening model for real solvents (COSMO-RS).
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Insight into the molecular mechanism that controls the solubility of CH4 in ionic liquids
TL;DR: In this article, the solubility of CH4 in 17 commercial ionic liquids (ILs) was measured experimentally at four different temperatures (298.15 to 343.15 K) and pressures up to 8 MPa.
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Prediction of infinite dilution activity coefficient of alcohol in ionic liquids using group contribution method
Nanthinie Thangarajoo,Syed Ali Ammar Taqvi,Pranesh Matheswaran,Khairiraihanna Johari,Mohd Hilmi Noh +4 more
TL;DR: In this article, a simple two parameters van't Hoff model using multiple linear regression (MLR) is applied and fitted by generalized reduced gradient (GRG) nonlinear algorithm to calculate the IDAC values of alcohol solutes in ionic liquids (ILs).