Challenges and opportunities in solid-state chemistry

DiSalvo, Francis J.

doi:10.1351/pac200072101799

Cited by 35 publications

(29 citation statements)

References 4 publications

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“…A 1+x M′ 2-2x M′′ 7-x Se 13 (l ) 2, m ) 2, n ) 2) defines the so-called Sr 4 Bi 6 Se 13 structure type, 33 a very stable architecture that is adopted by many ternary and quaternary systems including K 2 37 and the solid solutions K 2 Bi 8-x Sb x Se 13 for 0 e x e 8. 38 The main characteristic is that the [Bi 6 Se 13 ] 8-part of the structure remains intact while the Sr 2+ positions can be substituted with a variety of similarly sized ions, Ba 2+ , K + , Bi 3+ , Pb 2+ , etc., so long as they maintain electroneutrality.…”

Section: Structural Evolution and Phase Homologies Kanatzidismentioning

confidence: 99%

Structural Evolution and Phase Homologies for “Design” and Prediction of Solid-State Compounds

2004

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The challenge of designing solid state compounds with predicted compositions and structures could be partly met using concepts that employ phase homologies. Homologous series of compounds not only can place seemingly diverse phases into a single context; they can also forecast with high probability specific new phases. A homologous series is expressed in terms of a mathematical formula that is capable of producing each member. Within a homologous series, the type of fundamental building units and the principles that define how they combine remain preserved, and only the size of these blocks varies incrementally. In this Account, we present this approach by discussing a number of new homologies and generalize it for a wide variety of systems.

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Section: Structural Evolution and Phase Homologies Kanatzidismentioning

confidence: 99%

Structural Evolution and Phase Homologies for “Design” and Prediction of Solid-State Compounds

2004

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“…ing to a group, including grouping across the periodic table according to the ionic size, oxidation number, polarizibility and presence of lone pairs. Similarity is expressed by a limited number of existing structural types, including preferences for some of them [2,3]. Thermodynamically speaking, it is observed that the number η q of (ordered) phases in phase diagrams is by far not as large than a continuous variation of stoichiometry would anticipate (except solid solutions which are an expression of similarity).…”

Section: Expression Of Similarity Of the Elementsmentioning

confidence: 99%

“…1), we have additionally to take into account stoichiometric variation. From a formal point of view, stoichiometric coefficients in compounds E x1 (1)E x2 (2)...E xn (n) may be continuously varied. Consequently, mathematical reasoning would lead us to a rather pessimistic perspective to support whatever endeavour for exploring the chemical diversity of solid compounds.…”

mentioning

confidence: 99%

Chemical Diversity in View of Property Generation by a New Combinatorial Approach

Hulliger

Awan

Trusch

et al. 2005

Zeitschrift anorg allge chemie

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Even the exploration of the phase space given by a large number N (N ≤ 61) of components but a limited number q (q ≤ 6) of elements Ei in e.g. metal oxides Ex1>(1)Ex2(2)…Exq(q)Oy is a demanding task and needs a combinatorial approach which, by setting up starting conditions for solid‐state reactions, is taking favour of efficient combinatorial functions. Estimations showed that within a single sample prepared by mixing N starting components, the number of local reaction centres (configurations) is exceeding the number of phase systems. A huge amount of about 1012 starting grains for a sample of one cm3 provides population of each configuration many times. The distribution for the grain size and the number of grains building up a configuration allow to explore compositional fields in phase diagrams of the order q. The single sample concept (SSC) is particularly of interest for property oriented syntheses, where e.g. magnetic materials are produced in minor quantities. Magnetic chromatography is applied to extract ferromagnetic materials formed by the SSC. A horizontal separator is presented and applied to extract new ferromagnetic Fe‐based oxides from SSC reaction mixtures.

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“…Nature over geological time scales has synthesized many multicomponent minerals containing typically 3 to 6 elements in different lattice sites and up to a maximum of ten ions in rare cases [10]. Direct synthesis of compound phases with many components other than naturally occurring minerals has been possible, for example in the case of high Tc oxide super conductors as in HgBa 2 Ca 3 Cu 3 O x .…”

Section: Multicomponent Materialsmentioning

confidence: 99%

On Extremity Trends in Advances of Materials

Balasubramanian

Rao

2004

Ferroelectrics

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The science & technology of materials has grown phenomenally during the last five decades. This article is an attempt at an overview of not so much the myriad individual materials that have been made and used but of a more general nature in which we seek to understand the developments in the material-process-property system. We point out that resorting to extremities in each of these aspects is one discernible trend. Making materials with more than three or four components, using extremities in process temperature & pressure and having to evaluate material properties at very high strain rates are an illustration of the extremity trends apart from the now famous extremities in chemical state, namely, nano sizes and amorphousity. What emerges is that there is colossal room in these extreme situations for fundamental data generation, e.g., thermochemical and diffusion related parameters, and understanding of the underlying mechanisms so essential for developing predictive capability with respect to material behaviour.

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Challenges and opportunities in solid-state chemistry

Cited by 35 publications

References 4 publications

Structural Evolution and Phase Homologies for “Design” and Prediction of Solid-State Compounds

Structural Evolution and Phase Homologies for “Design” and Prediction of Solid-State Compounds

Chemical Diversity in View of Property Generation by a New Combinatorial Approach

On Extremity Trends in Advances of Materials

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