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2019 年度 実施状況報告書

Multiscale simulation of reverse osmosis carbon nanotube-polyamide nanocomposite membranes

研究課題

研究課題/領域番号 19K12001
研究機関信州大学

研究代表者

Cruz Rodolfo  信州大学, 先鋭領域融合研究群先鋭材料研究所, 特任教授 (30597878)

研究期間 (年度) 2019-04-01 – 2022-03-31
キーワードmolecular dynamics / water diffusion / computational physics / reverse osmosis membrane / nanotubes
研究実績の概要

I have been working on the parameterization of 40 micropollutants using two different force fields: OPLS and CHARMM.
The prepared force field files of micropollutants have been tested in pure water using he diffusion coefficient to validate them. In order to accurately assign the charges to the atoms in these molecules, quantum mechanical calculations at the cc-pVNZ level and the Generalized Born implicit solvent model have been conducted. We included also new structures based on carbon nanomaterials topologies, such as fullerene, gyroids, graphene and graphene oxide. Comparison of these molecules will help to understand the role of CNT defects such as doping, edges, vacancies, etc.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

The project is going on schedule. We recently submitted a manuscript to nanoscale where simulations of water diffusion in the PA membrane were compared with a cellulose-nanofiber membrane. Such comparison with other models will help to understand the role of the carbon nanotubes in our membranes. Unlike carbon nanotubes, the cellulose nanofibers are highly hydrophilic, and such difference is key to understand the role of hydrophobic interactions in our membranes.
The collaboration with groups outside Japan has been delayed due to the Corona virus travel restrictions, but we have implemented zoom meetings to carry out the project without delay.

今後の研究の推進方策

-We need to assess the importance of a) polarizable amide bonds and b) CNT-PA interactions during water permeation simulations.
-We should implement an algorithm to parameterize small molecules using quantum mechanical calculations obtained in a systematized method. Such algorithm would be of great use for the community working on the simulation of small organic compounds.
-We are planning to develop our own method to accelerate molecular dynamics simulations using machine learning. Ideally, we should train the model using trajectories obtained under different equilibrium settings and extrapolate the model to permeation simulations.

  • 研究成果

    (2件)

すべて 2019

すべて 学会発表 (2件) (うち国際学会 1件、 招待講演 1件)

  • [学会発表] Nanocomposite reverse osmosis membranes with carbon nanotubes: Experimental and theoretical studies2019

    • 著者名/発表者名
      Rodolfo Cruz-Silva
    • 学会等名
      Asian Water Reuse Symposium
    • 招待講演
  • [学会発表] Study of Water Diffusion across Nanocomposite Reverse Osmosis Membranes: A Combined Molecular Dynamics and Kinetic Monte Carlo Approach2019

    • 著者名/発表者名
      Rodolfo Cruz-Silva
    • 学会等名
      2019 Materials Research Society Fall Meeting
    • 国際学会

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公開日: 2021-01-27  

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