Skip to main content

Research Repository

Advanced Search

Outputs (1330)

Compression Moulding (1999)
Patent
Wu, J., Buckley, C., & O'Connor, J. (1999). Compression Moulding

Multi-scale Approaches to Dynamical Transmission of Protein Allostery (2015)
Presentation / Conference Contribution
Townsend, P., Rodgers, T., Pohl, E., Wilson, M., Cann, M., & McLeish, T. (2015). Multi-scale Approaches to Dynamical Transmission of Protein Allostery. In L. Olivares-Quiroz, O. Guzmán-López, & H. E. Jardón-Valadez (Eds.), Physical Biology of Proteins and Peptides: Theory, Experiment, and Simulation (141-152). https://doi.org/10.1007/978-3-319-21687-4_8

We review the idea that allosteric interactions can be transmitted not by structural switching but by the more subtle route of modulation of the amplitude of thermally-activated global dynamical modes in allosteric proteins. The effect is naturally a... Read More about Multi-scale Approaches to Dynamical Transmission of Protein Allostery.

An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets (2013)
Presentation / Conference Contribution
Hargreaves, A. L., Kirby, A. K., Bain, C. D., Love, G. D., Bolognesi, G., Ces, O., …Ward, A. D. (2013). An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets. In K. Dholakia, & G. C. Spalding (Eds.), . https://doi.org/10.1117/12.2027105

We discuss the design, implementation and performance of a novel platform for the production and optical control of ultra-low interfacial tension droplets in the 1-10 micron regime. A custom-designed, integrated microfluidic system allows the product... Read More about An optical platform for the production, trapping, manipulation and visualization of ultra-low interfacial tension emulsion droplets.

Enhanced Methods for Evolution in-Materio Processors (2022)
Presentation / Conference Contribution
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). Enhanced Methods for Evolution in-Materio Processors. . https://doi.org/10.1109/icrc53822.2021.00026

Evolution-in-Materio (EiM) is an unconventional computing paradigm, which uses an Evolutionary Algorithm (EA) to configure a material's parameters so that it can perform a computational task. While EiM processors show promise, slow manufacturing and... Read More about Enhanced Methods for Evolution in-Materio Processors.

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers (2018)
Presentation / Conference Contribution
Vissol-Gaudin, E., Kotsialos, A., Groves, C., Pearson, C., Zeze, D., Petty, M., & Al-moubayed, N. (2018). Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. In 2018 IEEE Congress on Evolutionary Computation (CEC) : 8-13 July 2018, Rio de Janeiro, Brazil ; proceedings (646-653). https://doi.org/10.1109/cec.2018.8477779

This paper focuses on a performance analysis of single-walled-carbon-nanotube / liquid crystal classifiers produced by evolution in materio. A new confidence measure is proposed in this paper. It is different from statistical tools commonly used to e... Read More about Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers.

Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms (2016)
Presentation / Conference Contribution
Vissol-Gaudin, E., Kotsialos, A., Massey, M., Zeze, D., Pearson, C., Groves, C., & Petty, M. (2016). Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms. In M. Amos, & A. Condon (Eds.), Unconventional computation and natural computation : 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016 ; proceedings (130-141). https://doi.org/10.1007/978-3-319-41312-9_11

Evolution-in-Materio uses evolutionary algorithms (EA) to exploit the physical properties of unconfigured, physically rich materials, in effect transforming them into information processors. The potential of this technique for machine learning proble... Read More about Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms.

A mathematical model of the eye lens epithelium of mammals that predicts cell density profiles in the ageing lens. (2015)
Presentation / Conference Contribution
Quinlan, R., Wu, J., Wu, W., Saunter, C., & Girkin, J. (2015). A mathematical model of the eye lens epithelium of mammals that predicts cell density profiles in the ageing lens.

Purpose: To develop a mathematical model of the mammalian eye lens epithelium that is independent of the lens size and that accounts for the change in cell density from the anterior pole to the meridional rows at the lens equator. The model aims to p... Read More about A mathematical model of the eye lens epithelium of mammals that predicts cell density profiles in the ageing lens..

Prosim Simulator Wear Study of 60mm Diameter Zirconia Toughened Alumina Composite Hip Bearings: The Effect of High Cup Inclination Angle and Microseparation (2011)
Presentation / Conference Contribution
Giddings, D., Wu, J., Mak, S., & Khan, I. (2011). Prosim Simulator Wear Study of 60mm Diameter Zirconia Toughened Alumina Composite Hip Bearings: The Effect of High Cup Inclination Angle and Microseparation. In P. Cann, & D. Dini (Eds.), Proceedings of the International Conference on BioTribology ICoBT 2011, Imperial College London

Effect of Knee, Ankle and Hip Joint Replacements on Vitamin E Infused Highly Crosslinked UHMWPE Wear Particles Size, Shape and Morphologies Using a New Modified Base Digestion Method (2015)
Presentation / Conference Contribution
Lal, S., & Wu, J. (2015). Effect of Knee, Ankle and Hip Joint Replacements on Vitamin E Infused Highly Crosslinked UHMWPE Wear Particles Size, Shape and Morphologies Using a New Modified Base Digestion Method. In Proceedings of the 7th International UHMWPE Meeting. Philadelphia, PA, USA. October 22 and 23, 2015