Physikalisch-Chemische Tabellen

Landolt, H.; Börnstein, Richard

doi:10.1007/978-3-662-43345-4_1

Cited by 38 publications

(3 citation statements)

References 33 publications

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“… 1, Aikazyan and Fedorova (1952) d ; 2, Baird and Davidson (1962) d ; 3, Boerboom and Kleyn (1969); 4, Brdicka and Wiesner (1947) d ; 5, Carlson (1911) d ; 6, Chiang and Toor (1959) d ; 7, Clarke (1964) d ; 8, Daubert and Danner (1994); 9, Davidson and Cullen (1957) d ; 10, Davies et al (1964) d ; 11, Davis et al (1967) d ; 12, Duda and Vrentas (1968) d ; 13, Eggleton et al (1945) d ; 14, Ferrell and Himmelblau (1967) d ; 15, Gertz and Loeschcke (1954) d ; 16, Gertz and Loeschcke (1956) d ; 17, Grote (1967) d ; 18, Grote and Thews (1962) d ; 19, Gubbins and Walker (1965) d ; 20, Hagenbach (1898) d ; 21, Landolt et al (1912); 22, Han and Bartels (1996); 23, Himmelblau (1964) d ; 24, Houghton et al (1962); 25, Hüfner (1897) d ; 26, Hüfner (1898) d ; 27, Ipatieff et al (1933) d ; 28, Ipatieff and Teodorovitsch (1937) d ; 29, Jähne et al (1987); 30, Jordan et al (1956) d ; 31, Kolthoff and Miller (1941) d ; 32, Kreuzer (1950) d ; 33, Krieger et al (1967) d ; 34, Lide (2010); 35, Müller (1948) d ; 36, Nijsing et al (1959) d ; 37, O'Brien and Hyslop (1977); 38, Rehm et al (1963) d ; 39, Reid et al (1987); 40, Ringbom (1938) d ; 41, Rüetschi (1967) d ; 42, Smith et al (1955) d ; 43, Stefan (1878) d ; 44, Tammann and Jessen (1929) d ; 45, Tang and Himmelblau (1963) d ; 46, Tham et al (1970) d ; 47, Thomas and Adams (1965) d ; 48, Unver and Himmelblau (1964) d ; 49, Viswanath and Natarajan (1989)…”

Section: Resultsmentioning

confidence: 99%

Scaling the gas transfer velocity and hydraulic geometry in streams and small rivers

Raymond

Zappa

Butman

et al. 2012

Limn Fluids and Environments

549

819

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Lay Abstract The exchange of gasses between water and air is important to the budgets of carbon, nutrients, and pollutants. This exchange is driven, in part, by the turbulent energy at the air–water interface. Turbulent energy at the air–water interface scales with the gas transfer velocity (k), which can be measured in streams through various methods. We performed a metadata analysis of studies that have measured k in streams using direct gas tracer releases. We evaluated models that predict k based on stream morphology. We found that models that use slope and velocity to predict k perform reasonably well and are consistent with general theory. We also used the data set to provide new stream hydraulic equations that predict stream morphology (width, depth, velocity) based on discharge.

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Section: Resultsmentioning

confidence: 99%

Scaling the gas transfer velocity and hydraulic geometry in streams and small rivers

Raymond

Zappa

Butman

et al. 2012

Limn Fluids and Environments

549

819

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“…Ethylene glycol (EG) has a value of n m = 1.43 at 25 °C, which is nearly the same as that of the silica used here. Figure 2(c) shows the values of n m for aqueous solutions of EG at various concentrations, C EG , taken from literature 28 . The equilibrium volume of the PAAm gel does not vary significantly with changes in C EG 29 (see also Supplementary Information B), which notably facilitates the data analysis.…”

Section: Resultsmentioning

confidence: 99%

Particle Adsorption on Hydrogel Surfaces in Aqueous Media due to van der Waals Attraction

Sato

Aoyama

Yamanaka

et al. 2017

Sci Rep

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Particle adhesion onto hydrogels has recently attracted considerable attention because of the potential biomedical applications of the resultant materials. A variety of interactions have been taken advantage of for adsorption, including electrostatic forces, hydrophobic interactions and hydrogen bonding. In this study, we report significant adsorption of submicron-sized silica particles onto hydrogel surfaces in water, purely by van der Waals (vdW) attraction. The vdW forces enabled strong adhesions between dielectric materials in air. However, because the Hamaker constant decreases in water typically by a factor of approximately 1/100, it is not clear whether vdW attraction is the major driving force in aqueous settings. We investigated the adsorption of silica particles (diameter = 25–600 nm) on poly(acrylamide) and poly(dimethylacrylamide) gels using optical microscopy, under conditions where chemical and electrostatic adsorption is negligible. The quantity of adsorbed particles decreased on decreasing the Hamaker constant by varying the refractive indices of the particles and medium (ethyleneglycol/water), indicating that the adsorption is because of the vdW forces. The adsorption isotherm was discussed based on the adhesive contact model in consideration of the deformation of the gel surface. The present findings will advance the elucidation and development of adsorption in various types of soft materials.

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“…Wiberg likely used thermochemical data (pp. 24, 149,[10]) from the Landolt-Börnstein[63] to construct entropy capacity versus temperature diagrams in units of Clausius per Kelvin versus Kelvin 3. Thermochemical data for graphite and diamond used in this work rely on the multiparameter model of Vassiliev and Taldrik[35].…”

mentioning

confidence: 99%

On the Thermal Capacity of Solids

Feldhoff

2022

Entropy

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The term thermal capacity appears to suggest a storable thermal quantity. However, this claim is not redeemed when thermal capacity is projected onto heat, which, like all energy forms, exits only in transit and is not a part of internal energy. The storable thermal quantity is entropy, and entropy capacity is a well-defined physical coefficient which has the advantage of being a susceptibility. The inverse of the entropy capacity relates the response of the system (change of temperature) to a stimulus (change of entropy) such as the fluid level responses to a change in amount of fluid contained in a vessel. Frequently, entropy capacity has been used implicitly, which is clarified in examples of the low-temperature analysis of phononic and electronic contributions to the thermal capacity of solids. Generally, entropy capacity is used in the estimation of the entropy of a solid. Implicitly, the thermoelectric figure of merit refers to entropy capacity. The advantage of the explicit use of entropy capacity comes with a descriptive fundamental understanding of the thermal behaviour of solids, which is made clear by the examples of the Debye model of phonons in solids, the latest thermochemical modelling of carbon allotropes (diamond and graphite) and not least caloric materials. An electrocaloric cycle of barium titanate close to its paraelectric–ferroelectric phase transition is analysed by means of entropy capacity. Entropy capacity is a key to intuitively understanding thermal processes.

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Physikalisch-Chemische Tabellen

Cited by 38 publications

References 33 publications

Scaling the gas transfer velocity and hydraulic geometry in streams and small rivers

Scaling the gas transfer velocity and hydraulic geometry in streams and small rivers

Particle Adsorption on Hydrogel Surfaces in Aqueous Media due to van der Waals Attraction

On the Thermal Capacity of Solids

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