𝔖 Bobbio Scriptorium
✦   LIBER   ✦

ChemInform Abstract: The Prediction of Lattice Constants in Orthorhombic Perovskites.

✍ Scribed by R. Ubic; G. Subodh

Publisher
John Wiley and Sons
Year
2010
Weight
15 KB
Volume
41
Category
Article
ISSN
0931-7597

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Optimization of artificial neural networ
Optimization of artificial neural networks for prediction of the unit cell parameters in orthorhombic perovskites. Comparison with multiple linear regression
✍ Igor Kuzmanovski; Slobotka Aleksovska πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 314 KB

The unit cell parameters (a, b, c) of orthorhombic perovskites (of A 2 + B 4 + O 3 and A 3 + B 3 + O 3 type) were predicted both using multiple linear regression analysis (MLR) and two types of artificial neural networks (ANN). In these analyses, 70 compounds of above perovskite type were included:

Synthesis, lattice constants and OH-vale
Synthesis, lattice constants and OH-valence vibrations of an orthorhombic amphibole with excess OH in the system Li2O-MgO-SiO2-H2O
✍ W. V. Maresch; K. Langer πŸ“‚ Article πŸ“… 1976 πŸ› Springer 🌐 English βš– 659 KB

Orthorhombic amphiboles with excess OH, which can be schematically deduced from anthophyllite by the combined substitutions Mg2+4-0 2-~ Li + +OH-and Mg 2+ -~ 2 Li +, were synthesized at 750-875 ~ C/1 kbar PH2o in the system Li20-MgO-SiO2-HzO. Their phase relations are presented for 800 ~ C/1 kbar P