scholarly journals Correction: Modeling the surface chemistry of biomass model compounds on oxygen-covered Rh(100)

2017 ◽  
Vol 19 (1) ◽  
pp. 893-893
Author(s):  
B. Caglar ◽  
J. W. (Hans) Niemantsverdriet ◽  
C. J. (Kees-Jan) Weststrate
Keyword(s):  
Surface Chemistry ◽  
Chem Phys ◽  
Model Compounds ◽  
Phys Chem Chem Phys

Correction for ‘Modeling the surface chemistry of biomass model compounds on oxygen-covered Rh(100)’ by B. Caglar et al., Phys. Chem. Chem. Phys., 2016, 18, 23888–23903.

Six-Pulse RIDME Sequence to Avoid Background Artifacts

2021 ◽  
Author(s):  
Dinar Abdullin ◽  
Miriam Suchatzki ◽  
Olav Schiemann
Keyword(s):  
Structural Biology ◽  
Conformational Changes ◽  
Pulse Sequence ◽  
Chem Phys ◽  
Nanometer Scale ◽  
Model Compounds ◽  
Distance Distributions ◽  
Valuable Method ◽  
Dipolar Modulation ◽  
Phys Chem Chem Phys

AbstractRelaxation induced dipolar modulation enhancement (RIDME) is a valuable method for measuring nanometer-scale distances between electron spin centers. Such distances are widely used in structural biology to study biomolecular structures and track their conformational changes. Despite significant improvements of RIDME in recent years, the background analysis of primary RIDME signals remains to be challenging. In particular, it was recently shown that the five-pulse RIDME signals contain an artifact which can hinder the accurate extraction of distance distributions from RIDME time traces [as reported by Ritsch et al. (Phys Chem Chem Phys 21: 9810, 2019)]. Here, this artifact, as well as one additionally identified artifact, are systematically studied on several model compounds and the possible origins of both artifacts are discussed. In addition, a new six-pulse RIDME sequence is proposed that eliminates the artifact with the biggest impact on the extracted distance distributions. The efficiency of this pulse sequence is confirmed on several examples.

`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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