scholarly journals Correction: Maxwell–Stefan diffusion coefficient estimation for ternary systems: an ideal ternary alcohol system

2019 ◽  
Vol 21 (23) ◽  
pp. 12704-12705
Author(s):  
Tariq Allie-Ebrahim ◽  
Qingyu Zhu ◽  
Pierre Bräuer ◽  
Geoff D. Moggridge ◽  
Carmine D'Agostino
Keyword(s):  
Diffusion Coefficient ◽  
Ternary Systems ◽  
Chem Phys ◽  
Coefficient Estimation ◽  
System P ◽  
Alcohol System ◽  
Phys Chem Chem Phys

Correction for ‘Maxwell–Stefan diffusion coefficient estimation for ternary systems: an ideal ternary alcohol system’ by Tariq Allie-Ebrahim et al., Phys. Chem. Chem. Phys., 2017, 19, 16071–16077.

scholarly journals Maxwell–Stefan diffusion coefficient estimation for ternary systems: an ideal ternary alcohol system

2017 ◽  
Vol 19 (24) ◽  
pp. 16071-16077 ◽  
Author(s):  
Tariq Allie-Ebrahim ◽  
Qingyu Zhu ◽  
Pierre Bräuer ◽  
Geoff D. Moggridge ◽  
Carmine D'Agostino
Keyword(s):  
Diffusion Coefficient ◽  
Diffusion Coefficients ◽  
Ternary Systems ◽  
Experimental Measurements ◽  
Multicomponent Systems ◽  
Self Diffusion ◽  
Coefficient Estimation ◽  
System P ◽  
Alcohol System

Two forms of the Darken equation for estimating Maxwell–Stefan diffusion in multicomponent systems have been proposed. Their accuracy has been assessed using experimental measurements of self-diffusion coefficients.

`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.

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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