Prediction carbon dioxide solubility in ionic liquids based on deep learning

Prediction of ionic liquids phase equilibrium with the COSMO-RS model

(2016) Michał Wlazło et al.   FLUID PHASE EQUILIBRIA

Visual Saliency Detection Based on Multiscale Deep CNN Features

(2016) Guanbin Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

New Method for the Estimation of Viscosity of Pure and Mixtures of Ionic Liquids Based on the UNIFAC–VISCO Model

(2016) Nan Zhao et al.   JOURNAL OF CHEMICAL AND ENGINEERING DATA

Development of robust model to estimate gas–oil interfacial tension using least square support vector machine: Experimental and modeling study

(2016) Mohammad Ali Ahmadi et al.   JOURNAL OF SUPERCRITICAL FLUIDS

A rigorous model to predict the amount of Dissolved Calcium Carbonate Concentration throughout oil field brines: Side effect of pressure and temperature

(2015) Mohammad-Ali Ahmadi et al.   FUEL

Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

(2015) Alireza Baghban et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Applying a sophisticated approach to predict CO2solubility in brines: application to CO2sequestration

(2015) Mohammad Ali Ahmadi et al.   International Journal of Low-Carbon Technologies

Experimental and thermodynamic study of CO2 solubility in promising [TF2N and DCN] ionic liquids

(2014) Mohamed Zoubeik et al.   FLUID PHASE EQUILIBRIA

Solubility of carbon dioxide in three [Tf2N] ionic liquids

(2014) Ali Tagiuri et al.   FLUID PHASE EQUILIBRIA

Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs

(2014) Mohammad Ali Ahmadi et al.   FUEL

Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence

(2014) Mohammad-Ali Ahmadi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: Application of particle swarm optimization

(2014) Mohammad Ali Ahmadi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach

(2014) Ali Shafiei et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Evolving Connectionist Model to Monitor the Efficiency of an In Situ Combustion Process: Application to Heavy Oil Recovery

(2014) Mohammad Ali Ahmadi et al.   Energy Technology

CO2 solubility measurement in 1-hexyl-3-methylimidazolium ([HMIM]) cation based ionic liquids

(2013) Joon-Hyuk Yim et al.   FLUID PHASE EQUILIBRIA

Evolving smart approach for determination dew point pressure through condensate gas reservoirs

(2013) Mohammad Ali Ahmadi et al.   FUEL

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

(2013) Alessandro Lusci et al.   Journal of Chemical Information and Modeling

Leak location of pipelines based on transient model and PSO-SVM

(2013) Lei Ni et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Modelling carbon dioxide solubility in ionic liquids

(2012) Soheil Mortazavi-Manesh et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

(2012) Mohammad Ali Ahmadi et al.   FUEL

Carbon Dioxide Capture by Superbase-Derived Protic Ionic Liquids

(2010) Congmin Wang et al.   ANGEWANDTE CHEMIE-INTERNATIONAL EDITION