Comment on “A universal approach for calculating the Judd–Ofelt parameters of RE3+ in powdered phosphors and its application for the β-NaYF4:Er3+/Yb3+ phosphor derived from auto-combustion-assisted fluoridation” by B. Chen, S. Xu et al., Phys. Chem. Chem. Phys., 2018, 20, 15876

2019 ◽  
Vol 21 (20) ◽  
pp. 10834-10839
Author(s):  
Qing Xu ◽  
Yun Zhang ◽  
De-Long Zhang

We show that the Judd–Ofelt parameters depend mainly on the strong instead of the weak transitions as reported previously in Phys. Chem. Chem. Phys., 2018, 20, 15876. More reliable Judd–Ofelt analysis method is suggested.

2019 ◽  
Vol 21 (20) ◽  
pp. 10840-10845 ◽  
Author(s):  
Yanqiu Zhang ◽  
Baojiu Chen ◽  
Sai Xu ◽  
Xiangping Li ◽  
Jinsu Zhang ◽  
...  

This is a Reply to the corresponding Comment and the strategy for the application of Judd–Ofelt theory was discussed.


2018 ◽  
Author(s):  
Tim Gould

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.


Author(s):  
Manoj Prasad ◽  
Filip Strubbe ◽  
Filip Beunis ◽  
Kristiaan Neyts

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.


Author(s):  
Shyamal Mondal ◽  
Debasree Chowdhury ◽  
Pabitra Das ◽  
Biswarup Satpati ◽  
Debabrata Ghose ◽  
...  

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.


Author(s):  
Aditya G. Rao ◽  
Christian Wiebeler ◽  
Saumik Sen ◽  
David S. Cerutti ◽  
Igor Schapiro

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.


2021 ◽  
Vol 23 (7) ◽  
pp. 4454-4454
Author(s):  
Kunran Yang ◽  
Jeremie Zaffran ◽  
Bo Yang

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.


2021 ◽  
Vol 23 (16) ◽  
pp. 10130-10131
Author(s):  
Ryo Sakamoto ◽  
Maho Yamashita ◽  
Kosuke Nakamoto ◽  
Yongquan Zhou ◽  
Nobuko Yoshimoto ◽  
...  

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.


2020 ◽  
Vol 22 (47) ◽  
pp. 27912-27912
Author(s):  
Ignacio Melián-Cabrera

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.


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

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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