scholarly journals Correction: Equations of the state of hard sphere fluids based on recent accurate virial coefficients B5–B12

2020 ◽  
Vol 22 (43) ◽  
pp. 25408-25408
Author(s):  
Jianxiang Tian ◽  
Hua Jiang ◽  
A. Mulero
Keyword(s):  
Hard Sphere ◽  
Virial Coefficients ◽  
Chem Phys ◽  
The State ◽  
Correction Equations ◽  
Phys Chem Chem Phys

Correction for ‘Equations of the state of hard sphere fluids based on recent accurate virial coefficients B5–B12’ by Jianxiang Tian et al., Phys. Chem. Chem. Phys., 2019, 21, 13070–13077. DOI: 10.1039/C9CP02116G

Equations of the state of hard sphere fluids based on recent accurate virial coefficients B5–B12

2019 ◽  
Vol 21 (24) ◽  
pp. 13070-13077 ◽  
Author(s):  
Jianxiang Tian ◽  
Hua Jiang ◽  
A. Mulero
Keyword(s):  
Phase Transition ◽  
Hard Sphere ◽  
Transition Point ◽  
Solid Phase ◽  
Virial Coefficients ◽  
Compressibility Factor ◽  
Phase Transition Point ◽  
The State ◽  
Solid Phase Transition

A review on the numerical virial coefficients, compressibility factor, fluid–solid phase transition point and equations of the state of hard sphere fluids.

`Diet GMKTN55' Offers Accelerated Benchmarking Through a Representative Subset Approach

2018 ◽  
Author(s):  
Tim Gould
Keyword(s):  
Density Functional ◽  
Chem Phys ◽  
Comprehensive Analysis ◽  
Genetic Approach ◽  
Representative Subset ◽  
Phys Chem Chem Phys

The GMTKN55 benchmarking protocol introduced by [Goerigk et al., Phys. Chem. Chem. Phys., 2017, 19, 32184] allows comprehensive analysis and ranking of density functional approximations with diverse chemical behaviours. But this comprehensiveness comes at a cost: GMTKN55's 1500 benchmarking values require energies for around 2500 systems to be calculated, making it a costly exercise. This manuscript introduces three subsets of GMTKN55, consisting of 30, 100 and 150 systems, as `diet' substitutes for the full database. The subsets are chosen via a stochastic genetic approach, and consequently can reproduce key results of the full GMTKN55 database, including ranking of approximations.

Critical consolute point in hard-sphere binary mixtures: Effect of the value of the eighth and higher virial coefficients on its location

2010 ◽  
Vol 75 (3) ◽  
pp. 359-369 ◽  
Author(s):  
Mariano López De Haro ◽  
Anatol Malijevský ◽  
Stanislav Labík
Keyword(s):  
Equation Of State ◽  
Binary Mixtures ◽  
Hard Sphere ◽  
Hard Spheres ◽  
Virial Coefficients ◽  
Fluid Mixture ◽  
Binary Fluid ◽  
Virial Series ◽  
Consolute Point ◽  
Critical Constants

Various truncations for the virial series of a binary fluid mixture of additive hard spheres are used to analyze the location of the critical consolute point of this system for different size asymmetries. The effect of uncertainties in the values of the eighth virial coefficients on the resulting critical constants is assessed. It is also shown that a replacement of the exact virial coefficients in lieu of the corresponding coefficients in the virial expansion of the analytical Boublík–Mansoori–Carnahan–Starling–Leland equation of state, which still leads to an analytical equation of state, may lead to a critical consolute point in the system.

scholarly journals Correction: Space charge limited release of charged inverse micelles in non-polar liquids

2021 ◽  
Author(s):  
Manoj Prasad ◽  
Filip Strubbe ◽  
Filip Beunis ◽  
Kristiaan Neyts
Keyword(s):  
Space Charge ◽  
Chem Phys ◽  
Polar Liquids ◽  
Inverse Micelles ◽  
Phys Chem Chem Phys ◽  
Space Charge Limited

Correction for ‘Space charge limited release of charged inverse micelles in non-polar liquids’ by Manoj Prasad et al., Phys. Chem. Chem. Phys., 2016, 18, 19289–19298, DOI: 10.1039/C6CP03544B.

scholarly journals Correction: Observation of ordered arrays of endotaxially grown nanostructures from size-selected Cu-nanoclusters deposited on patterned substrates of Si

2021 ◽  
Author(s):  
Shyamal Mondal ◽  
Debasree Chowdhury ◽  
Pabitra Das ◽  
Biswarup Satpati ◽  
Debabrata Ghose ◽  
...  
Keyword(s):  
Chem Phys ◽  
Patterned Substrates ◽  
Ordered Arrays ◽  
Cu Nanoclusters ◽  
Phys Chem Chem Phys

Correction for ‘Observation of ordered arrays of endotaxially grown nanostructures from size-selected Cu-nanoclusters deposited on patterned substrates of Si’ by Shyamal Mondal et al., Phys. Chem. Chem. Phys., 2021, 23, 6009–6016 DOI: 10.1039/D0CP06089E.

scholarly journals Correction: Histidine protonation controls structural heterogeneity in the cyanobacteriochrome AnPixJg2

2021 ◽  
Author(s):  
Aditya G. Rao ◽  
Christian Wiebeler ◽  
Saumik Sen ◽  
David S. Cerutti ◽  
Igor Schapiro
Keyword(s):  
Structural Heterogeneity ◽  
Chem Phys ◽  
Phys Chem Chem Phys

Correction for ‘Histidine protonation controls structural heterogeneity in the cyanobacteriochrome AnPixJg2’ by Aditya G. Rao et al., Phys. Chem. Chem. Phys., 2021, DOI: 10.1039/d0cp05314g.

scholarly journals Correction: Fast prediction of oxygen reduction reaction activity on carbon nanotubes with a localized geometric descriptor

2021 ◽  
Vol 23 (7) ◽  
pp. 4454-4454
Author(s):  
Kunran Yang ◽  
Jeremie Zaffran ◽  
Bo Yang
Keyword(s):  
Carbon Nanotubes ◽  
Oxygen Reduction Reaction ◽  
Oxygen Reduction ◽  
Chem Phys ◽  
Reduction Reaction ◽  
Oxygen Reduction Reaction Activity ◽  
Fast Prediction ◽  
Phys Chem Chem Phys

Correction for ‘Fast prediction of oxygen reduction reaction activity on carbon nanotubes with a localized geometric descriptor’ by Kunran Yang et al., Phys. Chem. Chem. Phys., 2020, 22, 890–895, DOI: 10.1039/C9CP04885E.

scholarly journals Correction: Local structure of a highly concentrated NaClO4 aqueous solution-type electrolyte for sodium ion batteries

2021 ◽  
Vol 23 (16) ◽  
pp. 10130-10131
Author(s):  
Ryo Sakamoto ◽  
Maho Yamashita ◽  
Kosuke Nakamoto ◽  
Yongquan Zhou ◽  
Nobuko Yoshimoto ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Local Structure ◽  
Chem Phys ◽  
Sodium Ion ◽  
Sodium Ion Batteries ◽  
Solution Type ◽  
Type Electrolyte ◽  
Phys Chem Chem Phys

Correction for ‘Local structure of a highly concentrated NaClO4 aqueous solution-type electrolyte for sodium ion batteries’ by Ryo Sakamoto et al., Phys. Chem. Chem. Phys., 2020, 22, 26452–26458, DOI: 10.1039/D0CP04376A.

scholarly journals Correction: Temperature control in DRIFT cells used for in situ and operando studies: where do we stand today?

2020 ◽  
Vol 22 (47) ◽  
pp. 27912-27912
Author(s):  
Ignacio Melián-Cabrera
Keyword(s):  
Temperature Control ◽  
Chem Phys ◽  
Phys Chem Chem Phys ◽  
Operando Studies

Correction for ‘Temperature control in DRIFT cells used for in situ and operando studies: where do we stand today?’ by Ignacio Melián-Cabrera, Phys. Chem. Chem. Phys., 2020, DOI: 10.1039/d0cp04352d.

scholarly journals Correction: Anisotropy of the vorticity tensor as a magnetic indicator of aromaticity

2020 ◽  
Vol 22 (19) ◽  
pp. 11101-11104
Author(s):  
S. Pelloni ◽  
P. Lazzeretti
Keyword(s):  
Chem Phys ◽  
Phys Chem Chem Phys

Correction for ‘Anisotropy of the vorticity tensor as a magnetic indicator of aromaticity’ by S. Pelloni et al., Phys. Chem. Chem. Phys., 2020, 22, 1299–1305, DOI: 10.1039/C9CP05563K.

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