A group contribution method to predict the melting point of ionic liquids von LAZZUS, Juan A

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Critical Properties, Normal Boiling Temperature, and Acentric Factor of Another 200 Ionic Liquids von Valderrama, José O, Sanga, Wilson W, Lazzús, Juan A

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Thermodynamic Behavior of Doped Graphene: Impact of Heavy Dopant Atoms von Palma-Chilla, L, Lazzús, Juan A

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A group contribution method to predict the thermal conductivity λ(T,P) of ionic liquids von Lazzus, Juan A

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Entropy and Negative Specific Heat of Doped Graphene: Topological Phase Transitions and Nernst's Theorem Revisited von Palma-Chilla, L, Lazzús, Juan A, Flores, J C

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Parameter estimation of Lorenz chaotic system using a hybrid swarm intelligence algorithm von Lazzús, Juan A., Rivera, Marco, López-Caraballo, Carlos H.

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A group contribution method to predict the glass transition temperature of ionic liquids von LAZZUS, Juan A

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Neural network/particle swarm method to predict flammability limits in air of organic compounds von LAZZUS, Juan A

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Hybrid Method to Predict Melting Points of Organic Compounds Using Group Contribution + Neural Network + Particle Swarm Algorithm von LAZZUS, Juan A

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Variability and forecasting of air temperature in Elqui Valley (Chile) von Lazzús, Juan A., Vega-Jorquera, Pedro, Salfate, Ignacio, Cuturrufo, Fernando, Palma-Chilla, Luis

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Prediction of solid vapor pressures for organic and inorganic compounds using a neural network von LAZZUS, Juan A

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Long-term prediction of wind speed in La Serena City (Chile) using hybrid neural network-particle swarm algorithm von Lazzús, Juan A, Salfate, Ignacio

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24-hours wind speed forecasting and wind power generation in La Serena (Chile) von Salfate, Ignacio, López-Caraballo, Carlos H, Sabín-Sanjulián, Carolina, Lazzús, Juan A, Vega, Pedro, Cuturrufo, Fernando, Marín, Julio

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Estimation of solid vapor pressures of pure compounds at different temperatures using a multilayer network with particle swarm algorithm von LAZZUS, Juan A

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Wind turbine power curve modeling based on Gaussian Processes and Artificial Neural Networks von Manobel, Bartolomé, Sehnke, Frank, Lazzús, Juan A., Salfate, Ignacio, Felder, Martin, Montecinos, Sonia

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A group contribution method to estimate the viscosity of ionic liquids at different temperatures von Lazzús, Juan A., Pulgar-Villarroel, Geraldo

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Predicting Natural and Chaotic Time Series with a Swarm-Optimized Neural Network von Lazzus, Juan A

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Neural network-particle swarm modeling to predict thermal properties von Lazzús, Juan A.

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Estimation of the thermal conductivity λ(T,P) of ionic liquids using a neural network optimized with genetic algorithms von Lazzús, Juan A.

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Estimating the Temperature-Dependent Surface Tension of Ionic Liquids Using a Neural Network-Based Group Contribution Method von Lazzús, Juan A, Cuturrufo, Fernando, Pulgar-Villarroel, Geraldo, Salfate, Ignacio, Vega, Pedro

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