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Comparative techno-economic and life cycle greenhouse gas assessment of ammonia production from thermal decomposition of methane and steam methane reforming technologies (2022)
Journal Article
Oni, A. O., Giwa, T., Font-Palma, C., & Fadare, D. A. (2023). Comparative techno-economic and life cycle greenhouse gas assessment of ammonia production from thermal decomposition of methane and steam methane reforming technologies. International journal of greenhouse gas control, 123, Article 103819. https://doi.org/10.1016/j.ijggc.2022.103819

This study assesses the life cycle greenhouse gas (GHG) and economic feasibility of applying thermal decomposition of methane (TDM) technology for ammonia production compared to the conventional steam methane reforming (SMR) technology. A detailed pr... Read More about Comparative techno-economic and life cycle greenhouse gas assessment of ammonia production from thermal decomposition of methane and steam methane reforming technologies.

Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials (2022)
Journal Article
Dawed, A. Y., Mari, A., Brown, A., McDonald, T. J., Li, L., Wang, S., Hong, M. G., Sharma, S., Robertson, N. R., Mahajan, A., Wang, X., Walker, M., Gough, S., Hart, L. M., Zhou, K., Forgie, I., Ruetten, H., Pavo, I., Bhatnagar, P., Jones, A. G., …Jonsson, A. (2023). Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials. Lancet Diabetes and Endocrinology, 11(1), 33-41. https://doi.org/10.1016/S2213-8587%2822%2900340-0

Background: In the treatment of type 2 diabetes, GLP-1 receptor agonists lower blood glucose concentrations, body weight, and have cardiovascular benefits. The efficacy and side effects of GLP-1 receptor agonists vary between people. Human pharmacoge... Read More about Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials.

Direct Evidence of the Exfoliation Efficiency and Graphene Dispersibility of Green Solvents toward Sustainable Graphene Production (2022)
Journal Article
Ng, K. L., Maciejewska, B. M., Qin, L., Johnston, C., Barrio, J., Titirici, M. M., Tzanakis, I., Eskin, D. G., Porfyrakis, K., Mi, J., & Grobert, N. (2023). Direct Evidence of the Exfoliation Efficiency and Graphene Dispersibility of Green Solvents toward Sustainable Graphene Production. ACS Sustainable Chemistry and Engineering, 11(1), 58-66. https://doi.org/10.1021/acssuschemeng.2c03594

Achieving a sustainable production of pristine high-quality graphene and other layered materials at a low cost is one of the bottlenecks that needs to be overcome for reaching 2D material applications at a large scale. Liquid phase exfoliation in con... Read More about Direct Evidence of the Exfoliation Efficiency and Graphene Dispersibility of Green Solvents toward Sustainable Graphene Production.

What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies (2022)
Journal Article
Pouran, H. M., Karimi, S. M., Padilha Campos Lopes, M., & Sheng, Y. (2022). What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies. Energies, 15(23), Article 9037. https://doi.org/10.3390/en15239037

This perspective paper elaborates on how the burden of environmental issues on public health and the economy led China’s government to declare its revised environmental policies or “war on pollution”. It explains the importance of photovoltaic solar... Read More about What China’s Environmental Policy Means for PV Solar, Electric Vehicles, and Carbon Capture and Storage Technologies.

Modelling and Simulation of Dissolution/Reprecipitation Technique for Low-Density Polyethene Using Solvent/Non-Solvent System (2022)
Journal Article
Zein, S. H., Hussain, A. A., Yansaneh, O. Y., & Jalil, A. A. (2022). Modelling and Simulation of Dissolution/Reprecipitation Technique for Low-Density Polyethene Using Solvent/Non-Solvent System. Processes, 10(11), Article 2387. https://doi.org/10.3390/pr10112387

The global production and consumption of plastics have continued to increase. Plastics degrade slowly, causing persistent environmental pollution Developed waste plastic recycling methods are discussed in this report, with a focus on the dissolution/... Read More about Modelling and Simulation of Dissolution/Reprecipitation Technique for Low-Density Polyethene Using Solvent/Non-Solvent System.

Duct sound produced by vortex flow over a splitter plate (2022)
Journal Article
Tang, S. K. (2022). Duct sound produced by vortex flow over a splitter plate. Journal of Sound and Vibration, 541, Article 117352. https://doi.org/10.1016/j.jsv.2022.117352

This paper examines the sound generated by an inviscid low Mach number vortex filament as it moves near a semi-infinite splitter in a two-dimensional duct with and without vortex shedding at the splitter edge. A strong one-dimensional sound is produc... Read More about Duct sound produced by vortex flow over a splitter plate.

Temperature as a key parameter for graphene sono-exfoliation in water (2022)
Journal Article
Kaur, A., Morton, J. A., Tyurnina, A. V., Priyadarshi, A., Holland, A., Mi, J., Porfyrakis, K., Eskin, D. G., & Tzanakis, I. (2022). Temperature as a key parameter for graphene sono-exfoliation in water. Ultrasonics Sonochemistry, 90, Article 106187. https://doi.org/10.1016/j.ultsonch.2022.106187

Graphene dispersions in water are highly desirable for a range of applications such as biomedicines, separation membranes, coatings, inkjet printing and more. Recent novel research has been focussed on developing a green approach for scalable product... Read More about Temperature as a key parameter for graphene sono-exfoliation in water.

Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting (2022)
Journal Article
Cabaneros, S. M., & Hughes, B. (2022). Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting. Environmental modelling & software : with environment data news, 158, Article 105529. https://doi.org/10.1016/j.envsoft.2022.105529

The use of data-driven techniques such as artificial neural network (ANN) models for outdoor air pollution forecasting has been popular in the past two decades. However, research activity on the uncertainty surrounding the development of ANN models h... Read More about Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting.

Multiscale interactions of liquid, bubbles and solid phases in ultrasonic fields revealed by multiphysics modelling and ultrafast X-ray imaging (2022)
Journal Article
Qin, L., Porfyrakis, K., Tzanakis, I., Grobert, N., Eskin, D. G., Fezzaa, K., & Mi, J. (2022). Multiscale interactions of liquid, bubbles and solid phases in ultrasonic fields revealed by multiphysics modelling and ultrafast X-ray imaging. Ultrasonics Sonochemistry, 89, Article 106158. https://doi.org/10.1016/j.ultsonch.2022.106158

The volume of fluid (VOF) and continuous surface force (CSF) methods were used to develop a bubble dynamics model for the simulation of bubble oscillation and implosion dynamics under ultrasound. The model was calibrated and validated by the X-ray im... Read More about Multiscale interactions of liquid, bubbles and solid phases in ultrasonic fields revealed by multiphysics modelling and ultrafast X-ray imaging.