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Computational Design of Graphene-Based Materials for Challenging Nuclear Decommissioning Applications

Computational Design of Graphene-Based Materials for Challenging Nuclear Decommissioning Applications
具有挑战性的核退役应用的石墨烯基材料的计算设计
批准号:
EP/R033366/1
负责人:
Christopher Williams
金额:
$38.53万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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英文摘要
The safe decommissioning of facilities used in the nuclear fuel cycle (nuclear fuel reprocessing, research and development and energy production) is a major socio-economic challenge facing the UK, with a predicted total cost of £120bn over the next 120 years. The decommissioning process will generate large volumes of water-based waste (effluent) which is radioactive and must be treated. As well as a number of specific challenges associated with the current materials and processes used to treat effluent, many new challenges are likely arise in the near future as decommissioning activity gathers pace. Overcoming these challenges is critical in the context of establishing public confidence in the management of radioactive waste as well as underpinning the UK's long-term energy strategy. Graphene oxide, a derivative of graphene with a high oxygen content, has exceptional properties which have already been demonstrated in other fields (e.g. desalination), and may be able to overcome the limitations faced by the materials currently used in effluent treatment. Graphene oxide could be used to treat effluents in two separate ways. Firstly, graphene oxide flakes could be added to the effluent and used to directly bind radioactive species (adsorption). Alternatively, a semi-permeable membrane, fabricated from individual graphene oxide flakes, could be used to sieve out the radioactive species (filtration).In this innovative and ambitious project, the science underpinning the use of graphene oxide in nuclear effluent treatment will be developed using a methodology led by computer simulation. Firstly, the development of new 'coarse-grained' models of graphene oxide will significantly extend the length and time scales accessible to simulation and open up the possibility of investigating the stability of graphene oxide membranes and dispersions. Using the new models, the efficacy of graphene oxide for the treatment of effluents containing some of the most problematic and dangerous radioactive species (e.g. uranium, plutonium, caesium and strontium) will be assessed, delivering the relevant physical and thermodynamic data required for the next stage of process development. The design and performance of graphene oxide will be optimised to improve decontamination factors for specific effluent treatment challenges. As a result, the project has the potential to revolutionise the techniques used in the treatment of radioactive effluent.
期刊论文(8)
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会议论文
DOI: 10.1088/2053-1583/ab6f0c
发表时间: 2020-02
期刊: 2D Materials
影响因子: 5.5
作者: [C. D. Williams;M. Lísal]
通讯作者: C. D. Williams;M. Lísal
DOI: 10.1016/j.memsci.2022.120489
发表时间: 2022-04-08
期刊: JOURNAL OF MEMBRANE SCIENCE
影响因子: 9.5
作者: [Bin Shaharudin, Mohd Rafie, Williams, Christopher D., Carbone, Paola]
通讯作者: Carbone, Paola
DOI: 10.1021/acsnano.3c08260
发表时间: 2023-11-14
期刊: ACS NANO
影响因子: 17.1
作者: [bin Shaharudin, Mohd Rafie, Williams, Christopher D., Achari, Amritroop, Nair, Rahul R., Carbone, Paola]
通讯作者: Carbone, Paola
DOI: 10.1039/d1nr08275b
发表时间: 2022-02
期刊: Nanoscale
影响因子: 6.7
作者: [C. D. Williams;Zixuan Wei;Mohd Rafie Bin Shaharudin;P. Carbone]
通讯作者: C. D. Williams;Zixuan Wei;Mohd Rafie Bin Shaharudin;P. Carbone
Constructions and properties of p-adic L-functions for GL(n)
  • 批准号:
    EP/T001615/2
  • 项目类别:
    Fellowship
  • 资助金额:
    $3.38万
  • 财政年份:
    2022
  • 负责人:
    Christopher Williams
  • 依托单位:
I-Corps: Multi-axis Additive Manufacturing Process for Performance-Optimized Composites
REU Site: CO2 Chemical Engineering: Opportunities and Challenges
CPS: TTP Option: Medium: Collaborative Research: Cyber-Physical System Integrity and Security with Impedance Signatures
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  • 批准号:
    --
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
基于“Design-Build-Test”循环策略的新型紫色杆菌素组合生物合成研究
  • 批准号:
  • 项目类别:
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  • 资助金额:
    --
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    2021
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在噪声和约束条件下的unitary design的理论研究
  • 批准号:
    12147123
  • 项目类别:
    专项基金项目
  • 资助金额:
    18万元
  • 批准年份:
    2021
  • 负责人:
    顾炎武
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