Novel simulation model for many-body multipole dispersion interactions

1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN VAN DER HOEF ◽  
PAUL MADDEN
1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN A. VAN DER HOEF PAUL A. MADD

2013 ◽  
Vol 138 (5) ◽  
pp. 054103 ◽  
Author(s):  
A. Otero-de-la-Roza ◽  
Erin R. Johnson

Molecules ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 486
Author(s):  
Jinjin Xu ◽  
Jinfeng Liu ◽  
Jinyun Liu ◽  
Wenxin Hu ◽  
Xiao He ◽  
...  

The behavior of ice under extreme conditions undergoes the change of intermolecular binding patterns and leads to the structural phase transitions, which are needed for modeling the convection and internal structure of the giant planets and moons of the solar system as well as H2O-rich exoplanets. Such extreme conditions limit the structural explorations in laboratory but open a door for the theoretical study. The ice phases IX and XIII are located in the high pressure and low temperature region of the phase diagram. However, to the best of our knowledge, the phase transition boundary between these two phases is still not clear. In this work, based on the second-order Møller–Plesset perturbation (MP2) theory, we theoretically investigate the ice phases IX and XIII and predict their structures, vibrational spectra and Gibbs free energies at various extreme conditions, and for the first time confirm that the phase transition from ice IX to XIII can occur around 0.30 GPa and 154 K. The proposed work, taking into account the many-body electrostatic effect and the dispersion interactions from the first principles, opens up the possibility of completing the ice phase diagram and provides an efficient method to explore new phases of molecular crystals.


Author(s):  
Jan Gerit Brandenburg ◽  
Stefan Grimme

We analyze the energy landscape of the sixth crystal structure prediction blind test targets with variousfirst principlesandsemi-empiricalquantum chemical methodologies. A new benchmark set of 59 crystal structures (termed POLY59) for testing quantum chemical methods based on the blind test target crystals is presented. We focus on different means to include London dispersion interactions within the density functional theory (DFT) framework. We show the impact of pairwise dispersion corrections like the semi-empirical D2 scheme, the Tkatchenko–Scheffler (TS) method, and the density-dependent dispersion correction dDsC. Recent methodological progress includes higher-order contributions in both the many-body and multipole expansions. We use the D3 correction with Axilrod–Teller–Muto type three-body contribution, the TS based many-body dispersion (MBD), and the nonlocal van der Waals density functional (vdW-DF2). The density functionals with D3 and MBD correction provide an energy ranking of the blind test polymorphs in excellent agreement with the experimentally found structures. As a computationally less demanding method, we test our recently presented minimal basis Hartree–Fock method (HF-3c) and a density functional tight-binding Hamiltonian (DFTB). Considering the speed-up of three to four orders of magnitudes, the energy ranking provided by the low-cost methods is very reasonable. We compare the computed geometries with the corresponding X-ray data where TPSS-D3 performs best. The importance of zero-point vibrational energy and thermal effects on crystal densities is highlighted.


2013 ◽  
Vol 125 (26) ◽  
pp. 6761-6764 ◽  
Author(s):  
Noa Marom ◽  
Robert A. DiStasio ◽  
Viktor Atalla ◽  
Sergey Levchenko ◽  
Anthony M. Reilly ◽  
...  

1996 ◽  
Vol 8 (47) ◽  
pp. 9669-9674 ◽  
Author(s):  
Martin A van der Hoef ◽  
Paul A Madden

2015 ◽  
Vol 143 (23) ◽  
pp. 234111 ◽  
Author(s):  
Erich R. Kuechler ◽  
Timothy J. Giese ◽  
Darrin M. York

2019 ◽  
Vol 5 (12) ◽  
pp. eaax0024 ◽  
Author(s):  
Martin Stöhr ◽  
Alexandre Tkatchenko

Quantum-mechanical van der Waals dispersion interactions play an essential role in intraprotein and protein-water interactions—the two main factors affecting the structure and dynamics of proteins in water. Typically, these interactions are only treated phenomenologically, via pairwise potential terms in classical force fields. Here, we use an explicit quantum-mechanical approach of density-functional tight-binding combined with the many-body dispersion formalism and demonstrate the relevance of many-body van der Waals forces both to protein energetics and to protein-water interactions. In contrast to commonly used pairwise approaches, many-body effects substantially decrease the relative stability of native states in the absence of water. Upon solvation, the protein-water dispersion interaction counteracts this effect and stabilizes native conformations and transition states. These observations arise from the highly delocalized and collective character of the interactions, suggesting a remarkable persistence of electron correlation through aqueous environments and providing the basis for long-range interaction mechanisms in biomolecular systems.


2017 ◽  
Author(s):  
Majid Mortazavi ◽  
Jan Gerit Brandenburg ◽  
Reinhard J. Maurer ◽  
Alexandre Tkatchenko

<pre><p>Accurate prediction of structure and stability of molecular crystals is crucial in materials science and requires reliable modeling of long-range dispersion interactions. Semi-empirical electronic structure methods are computationally more efficient than their <i>ab initio </i>counterparts, allowing structure sampling with significant speed-ups. Here, we combine the Tkatchenko-Scheffler van-der-Waals method (TS) and the many body dispersion method (MBD) with third-order density functional tight-binding (DFTB3) <i>via</i> a charge population-based method. We find an overall good performance for the X23 benchmark database of molecular crystals, despite an underestimation of crystal volume that can be traced to the DFTB parametrization. We achieve accurate lattice energy predictions with DFT+MBD energetics on top of vdW-inclusive DFTB3 structures, resulting in a speed-up of up to 3000 times compared to a full DFT treatment. This suggests that vdW-inclusive DFTB3 can serve as a viable structural prescreening tool in crystal structure prediction. </p></pre>


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