Literature DB >> 22937808

How critical are the van der Waals interactions in polymer crystals?

Chun-Sheng Liu1, Ghanshyam Pilania, Chenchen Wang, Ramamurthy Ramprasad.   

Abstract

van der Waals (vdW) interactions play a prominent role in polymer crystallization. However, density functional theory (DFT) computations that utilize conventional (semi)local exchange-correlation functionals are unable to account for vdW interactions adequately and hence lead to poor predictions of equilibrium structures, densities, cohesive energies, and bulk moduli of polymeric crystals. This study therefore applies two forms of dispersion corrections to DFT, using either the Grimme (DFT-D3/D2) or the Tkatchenko and Scheffler (DFT-TS) approaches. We critically evaluate the relative performance of these two approaches in predicting structural, energetic, and elastic properties for a wide range of polymer crystals and also compare it with conventional electron exchange-correlation functionals (LDA, PBE, and PW91). Our results show that although the conventional functionals either systematically underestimate (e.g., LDA) or overestimate (e.g., PBE and PW91) the lattice parameters that control the polymer interchain interactions in a crystal, the dispersion-corrected functionals consistently provide a better prediction of the structural parameters. In a relative sense, however, the D3 and TS schemes are superior to the D2 approach owing to the environment-dependent atomic dispersion coefficients implicit in the D3 and TS treatments (we do note though that the D2 scheme already constitutes a significant improvement over the (semi)local functionals). Our results not only elucidate the importance of dispersion corrections in the accurate determination of the structural properties of the prototypical polymers considered but also provide a benchmark for comparing other procedures that might be used for including vdW interactions in such systems.

Entities:  

Year:  2012        PMID: 22937808     DOI: 10.1021/jp3005844

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  7 in total

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Authors:  Wei-Hong Liu; Wei Zeng; Han Qin; Cheng-Lu Jiang; Fu-Sheng Liu; Bin Tang; Yu-Xing Lei; Qi-Jun Liu
Journal:  J Mol Model       Date:  2019-11-25       Impact factor: 1.810

2.  Easy methods to study the smart energetic TNT/CL-20 co-crystal.

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3.  Machine Learning Strategy for Accelerated Design of Polymer Dielectrics.

Authors:  Arun Mannodi-Kanakkithodi; Ghanshyam Pilania; Tran Doan Huan; Turab Lookman; Rampi Ramprasad
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

4.  A polymer dataset for accelerated property prediction and design.

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Journal:  Sci Data       Date:  2016-03-01       Impact factor: 6.444

5.  Nitrogen-Rich Energetic Metal-Organic Framework: Synthesis, Structure, Properties, and Thermal Behaviors of Pb(II) Complex Based on N,N-Bis(1H-tetrazole-5-yl)-Amine.

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Journal:  Materials (Basel)       Date:  2016-08-10       Impact factor: 3.623

6.  Computational screening of organic polymer dielectrics for novel accelerator technologies.

Authors:  Ghanshyam Pilania; Eric Weis; Ethan M Walker; Robert D Gilbertson; Ross E Muenchausen; Evgenya I Simakov
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

7.  Phase Stability and Electronic Properties of Hybrid Organic-Inorganic Perovskite Solid Solution (CH(NH2)2) x (CH3NH3)1-x Pb(Br y I1-y )3 as a Function of Composition.

Authors:  T H Chan; N T Taylor; S Sundaram; S P Hepplestone
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2022-08-04       Impact factor: 4.177

  7 in total

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