I-Corps: Membrane Materials for Efficient Gas and Vapor Separations

I-Corps:用于高效气体和蒸汽分离的膜材料

基本信息

  • 批准号:
    2123323
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-03-15 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of a membrane technology for industrial gas and vapor separations. Effective membrane separation technology has the potential not only to reduce the energy consumption of chemical industries and accelerate the adoption of green alternative energy sources, but also to mitigate the emission of greenhouse gases. Replacing existing energy-intensive processes with membranes may reduce annual U.S. energy costs by $4 billion and eliminate 100 million tons of carbon dioxide emissions. Deploying efficient membranes for the purification of hydrogen and natural gas also may accelerate the replacement of coal for electricity generation, while implementing membranes for carbon dioxide separation from flue gas may reduce the cost of carbon capture by 50%. Despite their great potential, however, the broad adoption of membranes has been hampered by the inadequate separation performance of existing materials. The proposed technology uses molecular filters capable of performing precise separations based on gas molecule size, and enables separations currently unaddressed in industry that may realize the full potential of energy-efficient membrane-based technologies. This I-Corps project focuses on the development of molecular filters engineered to have similar pore sizes to gas molecules, making them exceptional molecular sieves. Traditional membrane materials consist of single-stranded and flexible polymer chains that pack efficiently in the solid state, leading to virtually no pores in the membranes. This dense packing results in limited productivity because molecules could not diffuse quickly through the dense material. The materials had low selectivity because they could not distinguish molecules by size. The materials in the proposed design represent a shift in polymer chemistry and materials engineering. A rigid ladder, or double-stranded, molecular motif was incorporate into the polymer chains. These rigid ladder motifs prevent the dense packing of polymer chains in the solid-state, leading to abundant microporosity that may be leveraged for molecular separations. By systematically tuning the conformation of these ladder motifs, the productivity and selectivity of the membrane may be simultaneously tailored for specific applications. In addition to the potential applications in the energy sector, this project may provide important intellectual insights to guide the understanding and design of porous organic materials with other applications yet to be explored.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该I-Corps项目更广泛的影响/商业潜力是开发用于工业气体和蒸汽分离的膜技术。有效的膜分离技术不仅可以降低化学工业的能源消耗,加速采用绿色替代能源,而且可以减少温室气体的排放。 用膜代替现有的能源密集型工艺,可以使美国每年的能源成本减少40亿美元,并减少1亿吨二氧化碳的排放。采用高效的膜来净化氢气和天然气也可以加速煤炭发电的替代,而采用膜从烟道气中分离二氧化碳可以将碳捕获的成本降低50%。然而,尽管膜具有巨大的潜力,但现有材料的分离性能不足阻碍了膜的广泛采用。所提出的技术使用能够基于气体分子大小进行精确分离的分子过滤器,并且能够实现目前在工业中未解决的分离,这可能实现基于节能膜的技术的全部潜力。这个I-Corps项目的重点是开发分子过滤器,其设计具有与气体分子相似的孔径,使其成为特殊的分子筛。传统的膜材料由单链和柔性聚合物链组成,这些聚合物链在固态下有效地包装,从而导致膜中几乎没有孔。这种致密的堆积导致有限的生产率,因为分子不能快速扩散通过致密的材料。 这些材料的选择性很低,因为它们不能通过大小区分分子。拟议设计中的材料代表了聚合物化学和材料工程的转变。刚性梯或双链分子基序被整合到聚合物链中。这些刚性梯形基序防止固态聚合物链的密集堆积,导致可用于分子分离的丰富的微孔。通过系统地调整这些梯形基序的构象,膜的生产率和选择性可以同时针对特定应用进行定制。除了在能源领域的潜在应用外,该项目还可能提供重要的知识见解,以指导对多孔有机材料的理解和设计,其他应用尚待探索。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Roman Lubynsky其他文献

Roman Lubynsky的其他文献

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{{ truncateString('Roman Lubynsky', 18)}}的其他基金

I-Corps: Translation Potential of a Machine Learning Risk Stratification Tool for Venous Thromboembolism
I-Corps:机器学习风险分层工具对静脉血栓栓塞的转化潜力
  • 批准号:
    2420417
  • 财政年份:
    2024
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Artificial Intelligence Models to Improve Heart Failure Management
I-Corps:改善心力衰竭管理的人工智能模型
  • 批准号:
    2234141
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Non-invasive ultrasound technology for tactile stimulation to create a sense of touch
I-Corps:用于触觉刺激的非侵入性超声波技术,以产生触觉
  • 批准号:
    2103773
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Digital Phenotyping to Predict and Prevent Burnout in the Workplace
I-Corps:通过数字表型预测和防止工作场所倦怠
  • 批准号:
    2131399
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Application of deep generative models for simulating biological systems
I-Corps:深度生成模型在模拟生物系统中的应用
  • 批准号:
    2137197
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Digital twin technology via synthetic data generation to predict outcomes of clinical trials
I-Corps:通过合成数据生成的数字孪生技术来预测临床试验的结果
  • 批准号:
    2133778
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Quantitative Tissue Oxygen Sensors
I-Corps:定量组织氧传感器
  • 批准号:
    2035836
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Autonomous Robotic Instructor for Workforce Training
I-Corps:用于劳动力培训的自主机器人教练
  • 批准号:
    2029983
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps Teams: Machine Learning (ML)-powered Data Analyzer for Radio Frequency Integrated Circuits (RFIC) Design
I-Corps Teams:用于射频集成电路 (RFIC) 设计的机器学习 (ML) 驱动的数据分析器
  • 批准号:
    2016398
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Rapid 3D printing in gel suspension
I-Corps:凝胶悬浮液中的快速 3D 打印
  • 批准号:
    2029338
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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