<i>Handbook of the Physicochemical Properties of the Elements</i>

Samsonov, G. V.; Straumanis, M. E.

doi:10.1063/1.3035172

Cited by 99 publications

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“…The small peaks at 63 and 65 are caused by copper ions, which are an impurity in the ion beam. The abundances of the tin isotopes as derived from several results similar to that shown in figure 3, together with published isotopic abundances (Samsonov 1968) are shown in table 1. The agreement is quite good considering that no serious attempt was made to optimise the accuracy of the measurement by using, for example, long integration times or corrections for short-term variations in the output from the ion source.…”

Section: Performance Of Detectormentioning

confidence: 74%

Leonid Yakovlevich Suvorov (Obituary)

Abov¹,

Vladimirskiĭ²,

Nikitin³

et al. 1986

Sov. Phys. Usp.

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A new type of positive-ion detector is described. Novel features of the detector include the ability to operate in two modes, one as a scintillation-type detector able to detect single ions and the other as a Faraday collector able to measure ion currents into the milliamp range. Other features of the design include a near energy independent response, a gain that is unaffected by repeated cycling between high vacuum and atmospheric pressure and sensitivity to a wide range of ion species. These features make the detector unique and ideally suited to many applications such as sim, ion microprobe work, sputtering studies. ion source development and residual gas analysis.

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Section: Performance Of Detectormentioning

confidence: 74%

Leonid Yakovlevich Suvorov (Obituary)

Abov¹,

Vladimirskiĭ²,

Nikitin³

et al. 1986

Sov. Phys. Usp.

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“…Direct comparison of the obtained hardness values with the results of Komanduri et al 18 is not possible, because the worked material is different. Compared to aluminum, bulk copper is two to four times as hard, 50 depending on the method used to determine hardness. Assuming a similar relation holds for a nanoscale monocrystal or film (which is not unreasonable, since Cu and Al share the fcc structure at ambient conditions), values between 8 and 20 GPa would indicate qualitative agreement with Komanduri et al, which is indeed the case.…”

Section: Results: Nanoindentation and Nanoscratching Of Single-crymentioning

confidence: 99%

Hybrid quantum-classical approach for atomistic simulation of metallic systems

Dziedzic

Bobrowski

2011

Phys. Rev. B

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The learn-on-the-fly (LOTF) method [G. Csànyi et al., Phys. Rev. Lett. 93, 175503 (2004)] serves to seamlessly embed quantum-mechanical computations within a molecular-dynamics framework by continual local retuning of the potential's parameters so that it reproduces the quantum-mechanical forces. In its current formulation, it is suitable for systems where the interaction is short-ranged, such as covalently bonded semiconductors. We propose a substantial extension of the LOTF scheme to metallic systems, where the interaction range is longer and the many-body nature of the potential prevents a straightforward application of the original LOTF technique. We propose to realize the force optimization stage in a divide-and-conquer fashion and give detailed analysis of the difficulties encountered and the means to overcome them. We show how the technique, which we have termed divide and conquer learn-on-the-fly, can be parallelized to utilize several tens of processors. Finally, we present the results of an application of the proposed scheme (utilizing tight binding for the quantum-mechanical part) to nanoindentation and nanoscratching of single-crystal Cu.

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“…The analysis of the parameters with complete values for 11 metal ions and the EC 50 values in solution showed again that the two toxicity data sets correlate with an almost identical set of properties. Best correlations were shown with the following parameters ( of the elements [20], standard reduction potentials [17] and covalent index [19]. The EC 50 values in callus tissue (based on the fresh weight measurements) showed correlations with a totally different set of properties compared to the correlations of the EC 50 values in solution.…”

Section: Resultsmentioning

confidence: 99%

QSAR analysis of metal ion toxicity data in sunflower callus cultures (Helianthus annuus “Sunspot”)

Enache¹,

Dearden²,

Walker³

2003

QSAR Comb. Sci.

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Toxicity data in sunflower callus cultures were determined for 12 metal ions: Ca(II), Cd(II), Co(II), Cu(II), K(I), Li(I), Mg(II), Mn(II), Na(I), Ni(II), Zn(II) and La(III). Based on fresh and dry weight measurements, in vitro EC 50 values in solution and in callus tissue were determined. The correlations of the two toxicity data sets were modest. Pearsons correlation analysis of the toxicity data set determined in callus tissue and numerous parameters considered relevant in QSAR analysis showed the existence of a lower number of significant relationships, compared to the analogous analysis of EC 50 values in solution. Presented here are the corresponding significant regression equations. Different types of properties appeared to correlate with toxicity, making it difficult to identify their potential significance, for example properties of the metallic state like densities, atomic properties like atomic radii and ionisation energies, chemical properties of metals like electronegativity and other surrogate measures considered to reflect qualities affecting interaction with ligands included as the chemical softness parameter, the covalent index, the first hydrolysis constant, quantitative measures of the stability of a metal complex in solution and hydration data.

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Handbook of the Physicochemical Properties of the Elements

Abstract: Right here, we have countless publication handbook of the physicochemical properties of the

Cited by 99 publications

References 0 publications

Leonid Yakovlevich Suvorov (Obituary)

Leonid Yakovlevich Suvorov (Obituary)

Hybrid quantum-classical approach for atomistic simulation of metallic systems

QSAR analysis of metal ion toxicity data in sunflower callus cultures (Helianthus annuus “Sunspot”)

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