Address property

VBA allows you to equate a variable to an object, but the variable does not automatically become an object. If you then attempt to use the variable in an expression that requires an object, youll get an "Object required" error message. The Set command lets you define a variable or property as an object. The following example makes the InputBox method return an Object (so that you can use its Address property in addition to its Value property, for example) ... 

To conclude, we expect that ILs will find, besides organometaUic synthesis, catalysis and electrochemistry, a further rich field of application in the synthesis of nanostructured solids, either to make nano-objects (e.g. particles and fibers) with very special and otherwise non-addressable properties or for the design of nanopores and nanochannels in solids. It was reasoned that it is the quite singular combination of energetic adaptability towards other molecules and phases plus the strong H-bonded driven solvent structure which makes ILs a potential key tool in the realization of a new generation of chemical nanostructures. 

Various dynamic properties for the aviation domain have been formalized in TTL, a number of which are introduced below. All of these properties are related in some way to the occurrence of collisions. More specifically. Sect. 6.1.1 addresses properties that... 

Current computing resources often limit the range of properties and reactions that can be modeled on semiconducting mineral surfaces. Most molecular modeling applications are restricted to address properties and processes at a thin near-surface region of the material. Here, some flexibility in the number of atoms to be considered is available based on the particular semiconductor and the property being addressed. Although the focus of this review is on ab initio methods, it should be mentioned that molecular mechanics calculations (interactions based on parameterized potentials) have the ability to treat certain problems at semiconductor surfaces (see Rustad, this volume). For this application, the accuracy can be expected to depend on whether or not the... 

Since part of the interpretations for the intermediate Fe in perovskite and postperovskite is based on the XES analyses for the total spin momentum of the 3d electronics in the samples, further understanding of the XES spectra involving multiple electronic transitions as well as theoretical calculations incorporating lattice distortion effects is needed to resolve the discrepancy between current experimental and theoretical results and interpretations. Although SMS spectra can now be collected from the laser-heated DAC experiments at relevant P-T conditions of the lower mantle, extended time windows are needed to extract more meaningful information to decipher the spin and valence states of iron in the lower-mantle minerals at relevant P-T conditions. Knowing the exact spin and valence states of iron in the lower-mantle minerals would then help geophysicists to address properties of the deep Earth. 

The link between requirements engineering and contract theory is touched upon in [6,7,8], and more notably in [9], where properties of requirements, e.g. consistency, are described in a context of contracts. However, none of [6,7,8,9] address properties of safety requirements as described in ISO 26262 and the notion of completeness is not addressed to a full extent. In this paper, we establish a more elaborate connection between requirements engineering and contract theory by showing how consistency and completeness of safety requirements in ISO 26262 can be ensured through properties of contracts. 

Owing to the large number of types of industrial lubricants, the number of constraints, and therefore the number of desired properties, is very large. The main industrial oils are summarized in Tables 6.4 and 6.5, the first giving the constraints common to all applications, and the second addressing the more specific requirements. A few essential properties appear from these tables ... 

The definition above is a particularly restrictive description of a nanocrystal, and necessarily limits die focus of diis brief review to studies of nanocrystals which are of relevance to chemical physics. Many nanoparticles, particularly oxides, prepared dirough die sol-gel niediod are not included in diis discussion as dieir internal stmcture is amorjihous and hydrated. Neverdieless, diey are important nanoniaterials several textbooks deal widi dieir syndiesis and properties [4, 5]. The material science community has also contributed to die general area of nanocrystals however, for most of dieir applications it is not necessary to prepare fully isolated nanocrystals widi well defined surface chemistry. A good discussion of die goals and progress can be found in references [6, 7, 8 and 9]. Finally, diere is a rich history in gas-phase chemical physics of die study of clusters and size-dependent evaluations of dieir behaviour. This topic is not addressed here, but covered instead in chapter C1.1, Clusters and nanoscale stmctures, in diis same volume. 

We begin our discussion of nanocrystals in diis chapter widi die most challenging problem faced in die field die preparation and characterization of nanocrystals. These systems present challenging problems for inorganic and analytical chemists alike, and die success of any nanocrystal syndiesis plays a major role in die furdier quantitative study of nanocrystal properties. Next, we will address die unique size-dependent optical properties of bodi metal and semiconductor nanocrystals. Indeed, it is die striking size-dependent colours of nanocrystals diat first attracted... 

This section will outline the simplest models for the spectra of both metal and semiconductor nanocrystals. The work described here has illustrated that, in order to achieve quantitative agreement between theory and experiment, a more detailed view of the molecular character of clusters must be incoriDorated. The nature and bonding of the surface, in particular, is often of crucial importance in modelling nanocrystal optical properties. Wlrile this section addresses the linear optical properties of nanocrystals, both nonlinear optical properties and the photophysics of these systems are also of great interest. The reader is referred to the many excellent review articles for more in-depth discussions of these and other aspects of nanocrystal optical properties [147, 148, 149, 150, 151, 152, 153 and 1541. 

What is addressed by these sources is the ontology of quantal description. Wave functions (and other related quantities, like Green functions or density matrices), far from being mere compendia or short-hand listings of observational data, obtained in the domain of real numbers, possess an actuality of tbeir own. From a knowledge of the wave functions for real values of the variables and by relying on their analytical behavior for complex values, new properties come to the open, in a way that one can perhaps view, echoing the quotations above, as miraculous. ... 

The Monte Carlo approach, although much slower than the Hybrid method, makes it possible to address very large systems quite efficiently. It should be noted that the Monte Carlo approach gives a correct estimation of thermodynamic properties even though the number of production steps is a tiny fraction of the total number of possible ionization states. 

The representation of molecular surfaces, including the display of molecular surface properties, can be regarded as the next level of this hierarchy, but will be addressed in Sections 2,10 and 2,11 in this volume. 

Quantum mechanics (QM) is the correct mathematical description of the behavior of electrons and thus of chemistry. In theory, QM can predict any property of an individual atom or molecule exactly. In practice, the QM equations have only been solved exactly for one electron systems. A myriad collection of methods has been developed for approximating the solution for multiple electron systems. These approximations can be very useful, but this requires an amount of sophistication on the part of the researcher to know when each approximation is valid and how accurate the results are likely to be. A significant portion of this book addresses these questions. 

The first section of this chapter discusses various ways that chemical properties are computed. Then a number of specific properties are addressed. The final section is on visualization, which is not so much a property as a way of gaining additional insight into the electronic structure and motion of molecules. 

When the property being described is a physical property, such as the boiling point, this is referred to as a quantitative structure-property relationship (QSPR). When the property being described is a type of biological activity, such as drug activity, this is referred to as a quantitative structure-activity relationship (QSAR). Our discussion will first address QSPR. All the points covered in the QSPR section are also applicable to QSAR, which is discussed next. 

The crack shape is defined by the function -ip. This function is assumed to be fixed. It is noteworthy that the problems of choice of the so-called extreme crack shapes were considered in (Khludnev, 1994 Khludnev, Sokolowski, 1997). We also address this problem in Sections 2.4 and 4.9. The solution regularity for biharmonic variational inequalities was analysed in (Frehse, 1973 Caffarelli et ah, 1979 Schild, 1984). The last paper also contains the results on the solution smoothness in the case of thin obstacles. As for general solution properties for the equilibrium problem of the plates having cracks, one may refer to (Morozov, 1984). Referring to this book, the boundary conditions imposed on crack faces have the equality type. In this case there is no interaction between the crack faces. 

---