Работы, на которые ссылается эта работа

Работ: 58

Работа: A robust machine learning framework for predicting CO2 solubility in polyethylene glycol using advanced optimization strategies

Machine learning-based estimation of nano-lubricants viscosity in different operating conditions
Amin Bemani, Mohammad Madani, Alireza Kazemi
Статья2023Цитирований: 25
ABI
Gas-oil gravity drainage mechanism in fractured oil reservoirs: surrogate model development and sensitivity analysis
Mohammad Madani, Marzieh Alipour
Статья2022Цитирований: 17
ABI
A new model for predicting asphaltene precipitation of diluted crude oil by implementing LSSVM-CSA algorithm
Seyed Mojtaba Bassir, Mohammad Madani
Статья2019Цитирований: 11
ABI
Fast Monte Carlo reliability evaluation using support vector machine
Claudio M. Rocco, José Alı́ Moreno
Статья2002Цитирований: 7
ABI
Polyethylene glycol (PEG): a versatile polymer for pharmaceutical applications
Anisha D’Souza, Ranjita Shegokar
Обзорная статья2016Цитирований: 6
ABI
Polyethylene glycol as a green chemical solvent
Markus M. Hoffmann
Статья2021Цитирований: 6
ABI
Modeling n-alkane solubility in supercritical CO2 via intelligent methods
Reza Songolzadeh, Khalil Shahbazi, Mohammad Madani
Статья2020Цитирований: 6
ABI
Intelligent interpolation by Monte Carlo machine learning
Yongna Jia, Siwei Yu, Jianwei Ma
Статья2017Цитирований: 6
ABI
Mechanism of polyethylene glycol interaction with proteins
Tsutomu Arakawa, Serge N. Timasheff
Статья1985Цитирований: 5
ABI
Stochastic gradient boosting
Jerome H. Friedman
Статья2002Цитирований: 5
ABI
A comparative analysis of gradient boosting algorithms
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
Статья2020Цитирований: 5
ABI
Reliable Accuracy Estimates from k-Fold Cross Validation
Tzu-Tsung Wong, Po-Yang Yeh
Статья2019Цитирований: 4
ABI
Multiple predicting K -fold cross-validation for model selection
Yoonsuh Jung
Статья2017Цитирований: 4
ABI
The application of polyethylene glycol (PEG) to electron microscopy.
J. J. Wolosewick
Статья1980Цитирований: 4
ABI
Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide
Amin Daryasafar, Navid Daryasafar, Mohammad Madani +2
Статья2016Цитирований: 4
ABI
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
Da Ren, Chenchong Wang, Xiaolu Wei +3
Статья2024Цитирований: 4
ABI
High-pressure phase equilibria of polyethylene glycol-carbon dioxide systems
Manouchehr Daneshvar, Seecheol. Kim, Esin Gulari
Статья1990Цитирований: 3
ABI
Polyethylene glycol (PEG) as a green solvent for carbon–carbon bond formation reactions
Majid Vafaeezadeh, Mohammad Mahmoodi Hashemi
Статья2015Цитирований: 3
ABI
LABORATORY SYNTHESIS OF POLYETHYLENE GLYCOL DERIVATIVES
J. Milton Harris
Статья1985Цитирований: 3
ABI
Measurement and Modeling of the CO2 Solubility in Poly(ethylene glycol) of Different Molecular Weights
Elena Aionicesei, Mojca Škerget, Željko Knez
Статья2007Цитирований: 3
ABI
Solubilities of Carbon Dioxide in Polyethylene Glycol Ethers
Amr Henni, Paitoon Tontiwachwuthikul, A. Chakma
Статья2008Цитирований: 3
ABI
High pressure phase equilibria for poly(ethylene glycol)s + CO2: experimental results and modelling
Didier Gourgouillon, Manuel Nunes da Ponte
Статья1999Цитирований: 3
ABI
Phase equilibrium (solid-liquid-gas) in polyethyleneglycol-carbon dioxide systems
E. Weidner, V. Wiesmet, Željko Knez +1
Статья1997Цитирований: 3
ABI
Solubilities of CO2 in Poly(ethylene glycols) from (303.15 to 333.15) K
Jun Li, Yinmei Ye, Lifang Chen +1
Статья2011Цитирований: 3
ABI
Nanomedicine
Suphiya Parveen, Sanjeeb Kumar Sahoo
Обзорная статья2006Цитирований: 3
ABI

Работы, на которые ссылается эта работа

Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

Gas-oil gravity drainage mechanism in fractured oil reservoirs: surrogate model development and sensitivity analysis

A new model for predicting asphaltene precipitation of diluted crude oil by implementing LSSVM-CSA algorithm

Fast Monte Carlo reliability evaluation using support vector machine

Polyethylene glycol (PEG): a versatile polymer for pharmaceutical applications

Polyethylene glycol as a green chemical solvent

Modeling n-alkane solubility in supercritical CO2 via intelligent methods

Intelligent interpolation by Monte Carlo machine learning

Mechanism of polyethylene glycol interaction with proteins

Stochastic gradient boosting

A comparative analysis of gradient boosting algorithms

Reliable Accuracy Estimates from <i>k</i>-Fold Cross Validation

Multiple predicting <i>K</i> -fold cross-validation for model selection

The application of polyethylene glycol (PEG) to electron microscopy.

Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide

Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction

High-pressure phase equilibria of polyethylene glycol-carbon dioxide systems

Polyethylene glycol (PEG) as a green solvent for carbon–carbon bond formation reactions

LABORATORY SYNTHESIS OF POLYETHYLENE GLYCOL DERIVATIVES

Measurement and Modeling of the CO<sub>2</sub> Solubility in Poly(ethylene glycol) of Different Molecular Weights

Solubilities of Carbon Dioxide in Polyethylene Glycol Ethers

High pressure phase equilibria for poly(ethylene glycol)s + CO2: experimental results and modelling

Phase equilibrium (solid-liquid-gas) in polyethyleneglycol-carbon dioxide systems

Solubilities of CO<sub>2</sub> in Poly(ethylene glycols) from (303.15 to 333.15) K

Nanomedicine