Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids

2018 ◽  
pp. 81-88
Author(s):  
Jorge A. Cerecedo-Cordoba ◽  
Juan Javier González Barbosa ◽  
J. David Terán-Villanueva ◽  
Juan Frausto-Solís
Keyword(s):  
Neural Network ◽  
Ionic Liquids ◽  
Melting Point ◽  
Evolutionary Neural Network

Optimising an artificial neural network for predicting the melting point of ionic liquids

2008 ◽  
Vol 10 (38) ◽  
pp. 5826 ◽  
Author(s):  
José S. Torrecilla ◽  
Francisco Rodríguez ◽  
José L. Bravo ◽  
Gadi Rothenberg ◽  
Kenneth R. Seddon ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ionic Liquids ◽  
Melting Point ◽  
Artificial Neural

Novel Chemical Route to Size-Controlled Ta(0) and Ru-Ta Nanoparticles in Ionic Liquids

2012 ◽  
Vol 1473 ◽  
Author(s):  
Inga S. Helgadottir ◽  
Philippe P. Arquillière ◽  
Paul S. Campbell ◽  
Catherine C. Santini ◽  
P.-H. Haumesser
Keyword(s):  
Ionic Liquids ◽  
Melting Point ◽  
Metallic Nanoparticles ◽  
Room Temperature ◽  
Chemical Route ◽  
High Interest ◽  
Microelectronics Industry ◽  
Synthetic Routes ◽  
Size Controlled

ABSTRACTMetallic nanoparticles under 10 nm are of particular interest for the microelectronics industry. However, there is a lack of convenient synthetic routes to control their size Oxophilic metals, such as Ta, are also of high interest, however, the high oxophilicity and melting point makes the synthesis of such nanoparticles challenging. Making use of imidazolium-based ionic liquids, monodisperse zero-valent tantalum nanoparticles (Ta(0)NPs) have been successfully synthesised at room temperature by reduction of tris(neopentyl)neopentylidenetantalum(V). Furthermore; well size-controlled bimetallic Ru-Ta NPs have also been synthesized.

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