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نمایش تعداد 1-9 از 9

Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks

نوع: Journal Paper

نویسنده : Hajir Karimi; Fakhri Yousefi

سال: 2007

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Pressure-volume-temperature and excess molar volume prediction of amorphous and crystallizable polymer blends by equation of state

نوع: Journal Paper

نویسنده : Fakhri Yousefi; Hajir Karimi; Maryam Gomar

سال: 2015

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Prediction of Volumetric Properties (p-v-T) of Natural Gas Mixtures Using Extended Tao-Mason Equation of State

نوع: Journal Paper

نویسنده : Hajir Karimi; Fakhri Yousefi; Mohammad Mehdi Papari

ناشر: Elsevier Science

سال: 2011

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Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

نوع: Journal Paper

نویسنده : Fakhri Yousefi; Hajir Karimi; Zahra Gandomkar

سال: 2014

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Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

نوع: Journal Paper

نویسنده : Fakhri Yousefi; Hajir Karimi; Somayeh Mohammadiyan

سال: 2015

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Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

نوع: Journal Paper

نویسنده : Fakhri Yousefi; Somayeh Mohammadiyan; Hajir Karimi

سال: 2015

Modeling viscosity of nanofluids using diffusional neural networks

نوع: Journal Paper

نویسنده : Fakhri Yousefi; Hajir Karimi; Mohammad Mehdi Papari

سال: 2012

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Phase equilibria modeling of polystyrene/solvent mixtures using an artificial neural network and cubic equations of state

نوع: Journal Paper

نویسنده : Hajir Karimi; Fakhri Yousefi; Ebrahim Ahmadloo; Jamaledin Dastranj

سال: 2014

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Modeling thermal conductivity augmentation of nanofluids using diffusion neural networks

نوع: Journal Paper

نویسنده : Mohammad M. Papari; Fakhri Yousefi; Jalil Moghadasi; Hajir Karimi; Antonio Campo

سال: 2011

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Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks

Pressure-volume-temperature and excess molar volume prediction of amorphous and crystallizable polymer blends by equation of state

Prediction of Volumetric Properties (p-v-T) of Natural Gas Mixtures Using Extended Tao-Mason Equation of State

Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

Modeling viscosity of nanofluids using diffusional neural networks

Phase equilibria modeling of polystyrene/solvent mixtures using an artificial neural network and cubic equations of state

Modeling thermal conductivity augmentation of nanofluids using diffusion neural networks

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Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks

Pressure-volume-temperature and excess molar volume prediction of amorphous and crystallizable polymer blends by equation of state

Prediction of Volumetric Properties (p-v-T) of Natural Gas Mixtures Using Extended Tao-Mason Equation of State

Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

Modeling viscosity of nanofluids using diffusional neural networks

Phase equilibria modeling of polystyrene/solvent mixtures using an artificial neural network and cubic equations of state

Modeling thermal conductivity augmentation of nanofluids using diffusion neural networks