New insights into mechanisms of biomolecular control on growth of inorganic crystals

CrystEngComm ◽  
2007 ◽  
Vol 9 (12) ◽  
pp. 1144 ◽  
Author(s):  
James J. De Yoreo ◽  
Andrzej Wierzbicki ◽  
Patricia M. Dove
Keyword(s):  
Inorganic Crystals

Biomimetic route to produce nanosized inorganic crystals

2001 ◽  
Vol 44 (8-9) ◽  
pp. 1933-1936 ◽  
Author(s):  
Arvind Sinha ◽  
Swapan Kumar Das ◽  
V Rao ◽  
P Ramachandrarao
Keyword(s):  
Inorganic Crystals

The Charge Transfer Band as a Key to Study the Site Selection Preference of Eu3+ in Inorganic Crystals

2021 ◽  
Author(s):  
Jingyu Feng ◽  
Zhiying Wang ◽  
Hanyu Xu ◽  
Mochen Jia ◽  
Yanling Wei ◽  
...  
Keyword(s):  
Charge Transfer ◽  
Site Selection ◽  
Charge Transfer Band ◽  
Inorganic Crystals

Ladders of information: what contributes to the structural complexity of inorganic crystals

2018 ◽  
Vol 233 (3-4) ◽  
pp. 155-161 ◽  
Author(s):  
Sergey V. Krivovichev
Keyword(s):  
Crystal Structures ◽  
Inorganic Compounds ◽  
Structural Complexity ◽  
Unit Cell ◽  
Shannon Information ◽  
Topological Complexity ◽  
Crystal Chemical ◽  
Quantitative Estimates ◽  
Hydration State ◽  
Inorganic Crystals

AbstractComplexity is one of the important characteristics of crystal structures, which can be measured as the amount of Shannon information per atom or per unit cell. Since complexity may arise due to combination of different factors, herein we suggest a method of ladder diagrams for the analysis of contributions to structural complexity from different crystal-chemical phenomena (topological complexity, superstructures, modularity, hydration state, etc.). The group of minerals and inorganic compounds based upon the batagayite-type [M(TO4)ϕ] layers (M=Fe, Mg, Mn, Ni, Zn, Co; T=P, As; ϕ=OH, H2O) is used as an example. It is demonstrated that the method allows for the quantitative estimates of various contributions to the complexity of the whole structure.

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