On the limited precision of transfer of molecular optical activity tensors

2011 ◽  
Vol 76 (5) ◽  
pp. 567-583 ◽  
Author(s):  
Shigeki Yamamoto ◽  
Petr Bouř

Transfer of molecular property tensors (force field, dipole derivatives, polarizabilities, etc.) from smaller fragments to bigger molecules is powerful tool to calculate molecular vibrational spectra. However, we found serious accuracy limits for valinomycin (Phys. Chem. Chem. Phys. 2010, 12, 11021), where the transfer of the Raman optical activity tensors (ROA) had to be avoided. Therefore, in this study, the individual polarizable group model is analyzed for a model water dimer, and the corrections stemming from mutual group polarizations neglected in the transfer are estimated ab initio. The electric dipole polarizability was found more local and less sensitive to the interaction of distant molecular parts than the optical activity tensors (G′, A), which can partially explain the error observed during the transfer. In the second part of the study, tensor derivatives are transferred from smaller fragments to model valinomycin and insulin molecules, and the resultant tensor derivatives and ROA spectra compared to benchmark computations. The results confirmed that the error is caused by mutual polarization of molecular parts, more significant in insulin than in valinomycin, and could only partially be improved by increased size of the fragments.

2016 ◽  
Vol 18 (35) ◽  
pp. 24755-24756 ◽  
Author(s):  
Tao Wu ◽  
Jiří Kessler ◽  
Petr Bouř

Correction for ‘Chiral sensing of amino acids and proteins chelating with EuIII complexes by Raman optical activity spectroscopy’ by Tao Wu et al., Phys. Chem. Chem. Phys., 2016, DOI: 10.1039/c6cp03968e.


1974 ◽  
Vol 96 (15) ◽  
pp. 4769-4773 ◽  
Author(s):  
L. D. Barron ◽  
A. D. Buckingham

2015 ◽  
Vol 17 (29) ◽  
pp. 19673-19674 ◽  
Author(s):  
Thomas Spura ◽  
Hossam Elgabarty ◽  
Thomas D. Kühne

Correction for “On-the-fly” coupled cluster path-integral molecular dynamics: impact of nuclear quantum effects on the protonated water dimer` by Thomas Spura et al., Phys. Chem. Chem. Phys., 2015, 17, 14355–14359.


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.


2004 ◽  
Vol 35 (1-2) ◽  
pp. 87-92 ◽  
Author(s):  
Ewan W Blanch ◽  
Iain H McColl ◽  
Lutz Hecht ◽  
Kurt Nielsen ◽  
Laurence D Barron

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.


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