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Generating Nonnative Structures in Binary Ionic Liquid Mixtures for Tunable Phase Equilibria Properties

Generating Nonnative Structures in Binary Ionic Liquid Mixtures for Tunable Phase Equilibria Properties
在二元离子液体混合物中生成非自然结构以实现可调相平衡特性
批准号:
1706978
负责人:
Jindal Shah
金额:
$25.42万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2022-06-30

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中文摘要
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英文摘要
Ionic liquids are substances that are composed entirely of ions and can be designed to exist as liquids by combining a wide range of cations and anions. They have emerged as potentially environmentally benign chemicals due to their essentially nonvolatile nature and unique physicochemical properties. By judiciously selecting the cation, anion or functional groups on the ions, desired physical, chemical and biological properties can be imparted to ionic liquids making them truly designer solvents. Although such a combinatorial approach can potentially be exploited to generate as many as one million ionic liquids, a continuing challenge in the field of ionic liquids is that many ionic liquids display unfavorable transport properties limiting their use in industrial processes. Further, ionic liquids with transport properties in the range of interest for industrial applications, such as gas separations, usually contain fluorinated ions raising their production cost and environmental concern due to toxicity and poor biodegradability. Binary mixtures of ionic liquids with different compositions can potentially provide precise fine-tuning of the molecular interactions to generate desired properties. According to one estimate, there are one billion binary ionic liquid combinations; thus, it is highly desirable to predict a priori the properties of binary ionic liquid mixtures. However, at present, there is a lack of fundamental knowledge regarding the design rules that can be applied to arrive at such a conclusion. The proposed research is geared toward fulfilling this critical knowledge gap.The proposal is guided by the hypothesis that nonideality in the binary ionic liquid mixtures in terms of non-native molecular interactions occurs when two ionic liquids differing widely in their hydrogen bonding ability are combined; the nonideal behavior is reflected in the nonlinear dependence of solubility of gases on the composition of the binary mixture. The validity of the hypothesis will be tested by (i) determining the extent to which novel interactions are established for binary mixtures composed of ionic liquids differing widely in their hydrogen bonding ability and (ii) evaluating the effect of such interactions on the phase equilibria properties of binary ionic liquids mixtures with gases, such as carbon dioxide and methane. Molecular dynamics simulations will be carried out to elucidate molecular level interactions present in the mixtures composed of two ionic liquids while free-energy calculations and Monte Carlo methods will be employed for calculation of phase equilibria of substances in these mixtures. The proposed integration of research and education aims at creating an intellectually stimulating environment for training graduate and undergraduate students on understanding the role of molecular phenomena in designing efficient chemical systems. The proposed outreach plan is targeting students from diverse backgrounds and underrepresented populations in STEM fields.
期刊论文(13)
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会议论文
Thermophysical Properties of Imidazolium-Based Binary Ionic Liquid Mixtures Using Molecular Dynamics Simulations
使用分子动力学模拟的咪唑基二元离子液体混合物的热物理性质
DOI: 10.1021/acs.jced.7b01028
发表时间: 2018
期刊: Journal of Chemical & Engineering Data
影响因子: --
作者: [Kapoor, Utkarsh, Shah, Jindal K.]
通讯作者: Shah, Jindal K.
DOI: 10.1021/acs.jpclett.9b02478
发表时间: 2019-10-17
期刊: JOURNAL OF PHYSICAL CHEMISTRY LETTERS
影响因子: 5.7
作者: [Cosby, Tyler, Kapoor, Utkarsh, Sangoro, Joshua]
通讯作者: Sangoro, Joshua
DOI: 10.1016/j.fluid.2019.03.013
发表时间: 2019-07
期刊: Fluid Phase Equilibria
影响因子: 2.6
作者: [Utkarsh Kapoor;A. Banerjee;J. Shah]
通讯作者: Utkarsh Kapoor;A. Banerjee;J. Shah
DOI: 10.1142/s0219633618400047
发表时间: 2018-06
期刊: Journal of Theoretical and Computational Chemistry
影响因子: 2.4
作者: [Utkarsh Kapoor;J. Shah]
通讯作者: Utkarsh Kapoor;J. Shah
11
    Collaborative Research: CyberTraining: Implementation: Medium: Establishing Sustainable Ecosystem for Computational Molecular Science Training and Education
    • 批准号:
      2118180
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.5万
    • 财政年份:
      2021
    • 负责人:
      Jindal Shah
    • 依托单位:
    CAREER: Computation-Enabled Rational Design of Cytochrome P450 for Ionic Liquid Biodegradation
    • 批准号:
      1845143
    • 项目类别:
      Standard Grant
    • 资助金额:
      $51.43万
    • 财政年份:
      2019
    • 负责人:
      Jindal Shah
    • 依托单位:
    RII Track-4: Deciphering the Role of Polarization on Ion Transport in Ionic Liquid Batteries
    • 批准号:
      1929163
    • 项目类别:
      Standard Grant
    • 资助金额:
      $27.49万
    • 财政年份:
      2019
    • 负责人:
      Jindal Shah
    • 依托单位:
    UNS: Collaborative Research: Non-Membrane, Low Temperature and Low Emission Water Desalination Using Directional Solvent
    • 批准号:
      1512113
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.27万
    • 财政年份:
      2015
    • 负责人:
      Jindal Shah
    • 依托单位:
    海外基金