Modelling of nano-filler reinforcement, filler strength and experimental results of nanosilica composites made by a precipitation method
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1181
- Type
- D - Journal article
- DOI
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10.1016/j.commatsci.2014.01.041
- Title of journal
- Computational Materials Science
- Article number
- -
- First page
- 27
- Volume
- 94
- Issue
- C
- ISSN
- 0927-0256
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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A - MEMARC
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a key output of a collaborative project with the Sino-British College in Shanghai. A new approach for modelling the effective modulus of nanocomposite was proposed. The work has contributed to the development and applications of patent WO2017060680A1 (P. Claiden, 2017, p.r.claiden.01@cantab.net ) and led to a summer Pilot Project supported by the STFC-Nuclear Security Science Network and an industrial research project (Ren and Claiden, £34k, 2016-19), which attracted an Innovative Research and Defence contract (Claiden, ACC10169, 2016). It has led to a two-year China Scholarship Council-sponsored PostDoc project at LJMU (£100k to LJMU, 2017-2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -