Skip to main content

Research Repository

Advanced Search

Outputs (8)

Interfacial engineering of MoxSy via Boron‐doping for electrochemical N2‐to‐NH3 conversion. (2024)
Journal Article
ALSABBAN, M.M., PERAMAIAH, K., GENOVESE, A., AHMAD, R., AZOFRA, L.M., RAMALINGAM, V., HEDHILI, M.N., WEHBE, N., CAVALLO, L. and HUANG, K.-W. 2024. Interfacial engineering of MoxSy via Boron-doping for electrochemical N2-to-NH3 conversion. Advanced materials [online], 36(51): 15th Anniversary of King Abdullah University of Science and Technology (KAUST), article number 2405578. Available from: https://doi.org/10.1002/adma.202405578

The electrocatalytic synthesis of ammonia (NH3) through the nitrogen reduction reaction (NRR) under ambient temperature and pressure is emerging as an alternative approach to the conventional Haber–Bosch process. However, it remains a significant cha... Read More about Interfacial engineering of MoxSy via Boron‐doping for electrochemical N2‐to‐NH3 conversion..

Interdisciplinary workshop: creative approaches to the energy crisis. (2024)
Presentation / Conference Contribution
RODRIGUEZ-REMEDI, A. 2024. Interdisciplinary workshop: creative approaches to the energy crisis. Presented at the Interdisciplinary research and innovation symposium, 4 September 2024, Aberdeen, UK.

This poster was authored by Alejandra Rodriguez-Remedi (University of Aberdeen), and includes depictions of creative works contributed by various artists, including Maja Zećo and Callum Kellie (both Robert Gordon University). The poster was presented... Read More about Interdisciplinary workshop: creative approaches to the energy crisis..

Cost optimisation in offshore wind through procurement data analytics. (2024)
Presentation / Conference Contribution
SHITTU, Q. and EZENKWU, C.P. 2024. Cost optimisation in offshore wind through procurement data analytics. In Arai, K. (eds.) Intelligent computing: proceedings of the 12th Computing conference 2024 (Computing 2024), 11-12 July 2024, London, UK. Lecture notes in networks and systems, 1019. Cham: Springer [online], volume 4, pages 80-98. Available from: https://doi.org/10.1007/978-3-031-62273-1_6

Governments have implemented a variety of national and international efforts to reduce carbon emissions (so as to prevent the damaging effects of climate change on the environment and the global economy) through the execution of several policies, inc... Read More about Cost optimisation in offshore wind through procurement data analytics..

Promoting accountability and transparency in the governance of renewable energy transition in developing nations. (2024)
Presentation / Conference Contribution
ADEDOKUN, R., STRACHAN, P. and SINGH, A. 2024. Promoting accountability and transparency in the governance of renewable energy transition in developing nations. Poster presented at the 2024 All-energy exhibition and conference (ALL-ENERGY 2024), 15-16 May 2024, Glasgow, UK.

COP28 concluded with the need for an enhanced transparency framework to ensure progress towards achieving Countries' Nationally Determined Contributions. This requires the tripling of global renewable energy capacity by 2030 to reach net-zero emissio... Read More about Promoting accountability and transparency in the governance of renewable energy transition in developing nations..

Mirrored futures: film presentation / mirroring futures. (2024)
Presentation / Conference Contribution
KELLIE, C. 2024. Mirrored futures: film presentation / mirroring futures. Presented at the 6th Biennial conference of the Petrocultures Research Group (PETROCULTURES 2024: Los Angeles), 15-18 May 2024, Los Angeles, USA.

"Mirrored Futures" is a continuation and expansion of a visual ethnographic film titled "Mirrored Transitions". Produced from archive and found footage, the film was presented at the Byre Theatre in St Andrews. The continuation will explore themes of... Read More about Mirrored futures: film presentation / mirroring futures..

Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature. (2024)
Journal Article
CAMPBELL, L.K., FREMANTLE, C., MADDOX, D., SVENDSEN, E., HINES, S., MATTINGLY, M., LÓPEZ-JENSEN, M., LINDT, N., PAQUEO, L. and JOHNSON, M. 2024. Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature. Landscape research [online], Latest Articles. Available from: https://doi.org/10.1080/01426397.2024.2325507

This paper explores case studies of how artists working with scientists and land managers affiliated with the Urban Field Station Collaborative Arts Program (UFS Arts) are fostering new relations of care with urban nature and thereby informing landsc... Read More about Transdisciplinary and arts-centred approaches to stewardship and sustainability of urban nature..

Advancing AI with green practices and adaptable solutions for the future. [Article summary] (2024)
Digital Artefact
STARKEY, A. and EZENKWU, C.P. 2024. Advancing AI with green practices and adaptable solutions for the future. [Article summary]. Posted on The Academic [online], 28 March 2024. Available from: https://theacademic.com/ai-green-practices-adaptable-solutions/

Despite AI's achievements, how can its limitations be addressed to reduce computational costs, enhance transparency and pioneer eco-friendly practices?

Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. (2024)
Journal Article
EZENKWU, C.P., CANNON, S. and IBEKE, E. 2024. Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. Environmental monitoring and assessment [online], 196(3), article number 231. Available from: https://doi.org/10.1007/s10661-024-12388-6

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change... Read More about Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies..