Defects in crystalline PVDF: a density functional theory-density functional tight binding study
文献信息
Saeid Arabnejad, Koichi Yamashita, Sergei Manzhos
We present a comparative density functional theory (DFT) and density functional tight binding (DFTB) study of structures, energetics, vibrational properties as well as electronic structures of the four crystalline phases of polyvinylidene fluoride (PVDF) with different types of defects. For pure phases, the relative energies of PVDF strands (i.e. absent van der Walls bonding) agree well between DFT (using a GGA or a hybrid functional) and DFTB. For crystals, DFTB needs to be calibrated due to deficiencies in the treatment of vdW interactions. Defect formation energies were computed in large-scale DFTB simulations. For single chain vacancies, they are 0.41, 0.59, 0.08 and 0.40 eV per monomer removed in α, β, γ, and δ PVDF, respectively. The energy required to form double vacancies is 0.38, 0.52, 0.33 and 0.39 eV per monomer removed, respectively, i.e. the effect is nearly additive except in the γ phase. Interstitial defects were found to be unstable and convert into vacancies. The relatively high defect formation energies (vs. kT at room temperature) imply that phase purity is feasible in PVDF. Vibrational contributions affect the relative phase energies by up to 0.1 eV but do not significantly affect the relative phase stability.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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