TY - JOUR
T1 - Elongation method with intermediate mechanical and electrostatic embedding for geometry optimizations of polymers
AU - Mashkovtsev, Denis
AU - Mizukami, Wataru
AU - Korchowiec, Jacek
AU - Stachowicz-Kuśnierz, Anna
AU - Aoki, Yuriko
N1 - Funding Information:
D. M. acknowledges a Japanese government (MEXT) scholarship. W. M. also thanks the Grant-in-Aid for Young Scientists (Grant No. 18K14181) from JSPS. Y. A. acknowledges financial support for this work by JSPS/MEXT (KAKENHI: 23245005 and 16KT0059), and JST-CREST. The simulations were performed by using the computational facilities of our laboratory in Kyushu University, Japan.
Funding Information:
D. M. acknowledges a Japanese government (MEXT) scholarship. W. M. also thanks the Grant‐in‐Aid for Young Scientists (Grant No. 18K14181) from JSPS. Y. A. acknowledges financial support for this work by JSPS/MEXT (KAKENHI: 23245005 and 16KT0059), and JST‐CREST. The simulations were performed by using the computational facilities of our laboratory in Kyushu University, Japan.
Publisher Copyright:
© 2020 Wiley Periodicals LLC
PY - 2020/9/30
Y1 - 2020/9/30
N2 - The elongation method with intermediate mechanical and electrostatic embedding (ELG-IMEE) is proposed. The electrostatic embedding uses atomic charges generated by a charge sensitivity analysis (CSA) method and parameterized for three different population analyses, namely, the Merz–Singh–Kollman scheme, the charge model 5, and the atomic polar tensor. The obtained CSA models were tested on two model systems. Test calculations show that the electrostatic embedding provides several times of decrease in the difference of energies of testing and reference calculations in comparison with the conventional elongation approach (ELG). The mechanical embedding is implemented in a combination of the conventional elongation method and the ONIOM approach. Moreover, it was demonstrated that the geometry optimization with the ELG-IMEE reduces the errors in the optimized structures by about one order in root-mean-square deviation, when compared to ELG.
AB - The elongation method with intermediate mechanical and electrostatic embedding (ELG-IMEE) is proposed. The electrostatic embedding uses atomic charges generated by a charge sensitivity analysis (CSA) method and parameterized for three different population analyses, namely, the Merz–Singh–Kollman scheme, the charge model 5, and the atomic polar tensor. The obtained CSA models were tested on two model systems. Test calculations show that the electrostatic embedding provides several times of decrease in the difference of energies of testing and reference calculations in comparison with the conventional elongation approach (ELG). The mechanical embedding is implemented in a combination of the conventional elongation method and the ONIOM approach. Moreover, it was demonstrated that the geometry optimization with the ELG-IMEE reduces the errors in the optimized structures by about one order in root-mean-square deviation, when compared to ELG.
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U2 - 10.1002/jcc.26389
DO - 10.1002/jcc.26389
M3 - Article
C2 - 32730684
AN - SCOPUS:85088789701
SN - 0192-8651
VL - 41
SP - 2203
EP - 2212
JO - Journal of Computational Chemistry
JF - Journal of Computational Chemistry
IS - 25
ER -