All Outputs (4252)

A stable poro-mechanical formulation for Material Point Methods leveraging overlapping meshes and multi-field ghost penalisation (2025)
Journal Article
Pretti, G., Bird, R., Gavin, N., Coombs, W., & Augarde, C. (2025). A stable poro-mechanical formulation for Material Point Methods leveraging overlapping meshes and multi-field ghost penalisation. International Journal for Numerical Methods in Engineering, 126(5), Article e7630

The Material Point Method (MPM) is widely used to analyse coupled (solid-water) problems under large deformations/displacements. However, if not addressed carefully, MPM u-p formulations for poro-mechanics can be affected by two major sources of inst... Read More about A stable poro-mechanical formulation for Material Point Methods leveraging overlapping meshes and multi-field ghost penalisation.

Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems (2025)
Journal Article
Khalilzadehtabrizi, S., Mohagheghian, I., & Walker, M. (in press). Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems. Thin-Walled Structures,

Kirigami, the Japanese art of paper cutting, can be used to generate complex 3D shapes from 2D sheets. Kirigami structures can also be highly stretchable and accommodate extremely large strains from common materials, such as aluminium, which allow re... Read More about Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems.

Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin (2025)
Journal Article
Singh, A., Demirbaga, U., Singh Aujla, G., Jindal, A., Jiang, J., & Sun, H. (online). Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin. IEEE Journal of Selected Areas in Sensors, https://doi.org/10.1109/JSAS.2025.3540956

Sensor-enabled distributed energy resources (DERs) provide various advantages, including a lower carbon footprint, yet effective management of millions of DERs is still an issue. Virtual power plants (VPP) can integrate several DERs into a unified op... Read More about Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin.

Numerical study and sensitivity analysis of heat transfer characteristics of heat exchangers in a high-power free-piston Stirling generator (2025)
Journal Article
Wang, H., Chen, Y., Zhu, S., Zhang, L., Yu, G., Kang, H., & Luo, E. (2025). Numerical study and sensitivity analysis of heat transfer characteristics of heat exchangers in a high-power free-piston Stirling generator. Sustainable Energy Technologies and Assessments, 75, Article 104243. https://doi.org/10.1016/j.seta.2025.104243

The increasing of deep space exploration missions has promoted research on space nuclear power systems worldwide. Stirling generators, especially free-piston Stirling generators (FPSGs), are a promising dynamic energy conversion technology for space... Read More about Numerical study and sensitivity analysis of heat transfer characteristics of heat exchangers in a high-power free-piston Stirling generator.

A review of chemical stabilisation and fibre reinforcement techniques used to enhance the mechanical properties of rammed earth (2025)
Journal Article
Thompson, D., Augarde, C., & Osorio, J. P. (in press). A review of chemical stabilisation and fibre reinforcement techniques used to enhance the mechanical properties of rammed earth. Discover Civil Engineering, 2(1), Article 27. https://doi.org/10.1007/s44290-025-00184-1

Rammed earth is a sustainable construction method with a lower carbon footprint and embodied energy compared to traditional materials like steel and concrete. However, its lower mechanical properties when compared to these forms of construction make... Read More about A review of chemical stabilisation and fibre reinforcement techniques used to enhance the mechanical properties of rammed earth.

Predicting free edge delamination induced by thermal loading using finite fracture mechanics (2025)
Journal Article
Burhan, M., Ullah, Z., Kazancı, Z., & Catalanotti, G. (2025). Predicting free edge delamination induced by thermal loading using finite fracture mechanics. International Journal of Fracture, 250(1), 1-19. https://doi.org/10.1007/s10704-024-00817-z

The material mismatch between the dissimilarly oriented plies within laminated structures induces localised singular interlaminar stresses at free edges, under various loading conditions such as mechanical, moisture, or thermal. These interlaminar st... Read More about Predicting free edge delamination induced by thermal loading using finite fracture mechanics.

Weather Impact on DER Long-term Performance: A Formal Verification Approach (2025)
Presentation / Conference Contribution
Santana, M. A., Stefanakos, I., Fang, X., Garg, A., Sun, H., & Osman, A. (2024, November). Weather Impact on DER Long-term Performance: A Formal Verification Approach. Presented at 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Bangalore, India

Distributed energy resources (DERs), such as solar photovoltaic (PV) panels, are essential to modern energy systems, providing resilience and producing clean, local energy. However, their long-term performance is vulnerable to environmental factors,... Read More about Weather Impact on DER Long-term Performance: A Formal Verification Approach.

Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications (2025)
Journal Article
Chen, S., Wang, C.-X., Li, J., Huang, C., Chang, H., Huang, Y., Huang, J., & Chen, Y. (online). Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications. IEEE Journal of Selected Topics in Signal Processing, https://doi.org/10.1109/JSTSP.2025.3536289

Being aware of the channel and its properties is critical for coherent transmission in massive multiple-input multiple-output (M-MIMO) systems due to the large channel dimension in the space domain. In cell-free (CF) systems, the channel dimension in... Read More about Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications.

Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India (2025)
Journal Article
Sana, E., Kritika, Kumar, A., Robson, E., Prasanna, R., Kala, U., & Toll, D. G. (2025). Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India. Landslides, 22(2), https://doi.org/10.1007/s10346-025-02471-5

Himachal Pradesh, a northern state of India, experienced unprecedented heavy rainfall between July and August 2023 that triggered several devastating and fatal landslides across the state. This paper presents the findings of two key studies that aim... Read More about Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India.

Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid (2025)
Journal Article
Wang, B., Zhu, S., Ngwaka, U., Jia, B., Vijayalakshmi Shivaprasad, K., Wang, Y., Smallbone, A., Paul Roskilly, A., & Luo, E. (2025). Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid. Energy Conversion and Management: X, 26, Article 100909. https://doi.org/10.1016/j.ecmx.2025.100909

As an emerging micro- or small-scale energy conversion technology, linear Joule engine generators (LJEGs) combine the advantages of external combustion engines and linear generators, feature the advantages of high thermal-to-electrical efficiency, mu... Read More about Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid.

A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems (2025)
Journal Article
Yang, R., Wang, C.-X., Feng, R., Chen, Y., Huang, J., & Aggoune, E.-H. M. (online). A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems. IEEE Transactions on Wireless Communications, https://doi.org/10.1109/TWC.2025.3535781

In this paper, a novel three-dimensional (3D) geometry-based stochastic model (GBSM) and a beam domain channel model (BDCM) for sixth-generation (6G) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) integrated sensing and commun... Read More about A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems.

Comparison of game theory and genetic algorithm optimisation schedulers for diesel-hydrogen powered system reconfiguration (2025)
Journal Article
Taghavifar, H., Roy, S., & Roskilly, A. P. (2025). Comparison of game theory and genetic algorithm optimisation schedulers for diesel-hydrogen powered system reconfiguration. International Journal of Hydrogen Energy, 105, 1435-1450. https://doi.org/10.1016/j.ijhydene.2025.01.238

The turbocharged dual-fuel engine is modeled and connected online to optimiser platform for transient input variation of input parameters decided by designed algorithms. This task is undertaken to enable intelligent control of the propulsion system i... Read More about Comparison of game theory and genetic algorithm optimisation schedulers for diesel-hydrogen powered system reconfiguration.

Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources (2025)
Journal Article
Harsh, P., Sun, H., Das, D., Goyal, A., & Jiang, J. (online). Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources. IEEE Transactions on Industry Applications, https://doi.org/10.1109/TIA.2025.3535847

The growing integration of distributed energy resources (DERs) into the power grid necessitates an effective coordination strategy to maximize their benefits. Acting as an aggregator of DERs, a virtual power plant (VPP) facilitates this coordination,... Read More about Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources.

Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface (2025)
Journal Article
Wei, Z., Hu, W., Zhang, J., Guo, W., & McCann, J. (online). Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface. IEEE Transactions on Wireless Communications, https://doi.org/10.1109/twc.2025.3531799

Reconfigurable intelligent surfaces (RIS) can both help and hinder the physical layer secret key generation (PL-SKG) of communications systems. Whilst a legitimate RIS can yield beneficial impacts, including increased channel randomness to enhance PL... Read More about Explainable Adversarial Learning Framework on Physical Layer Key Generation Combating Malicious Reconfigurable Intelligent Surface.

Control Strategies for Solution‐Processed ZTO‐Based Thin‐Film Transistors Tailored Toward Volatile Organic Compound Detection (2025)
Journal Article
Miller, L. R., Miller, L. R., Galán‐González, A., Galán-González, A., Nicholson, B., Bowen, L., Monier, G., Borthwick, R. J., Borthwick, R. J., White, F., Saeed, M., Thompson, R. L., Thompson, R. L., Robert‐Goumet, C., Robert-Goumet, C., Atkinson, D., Zeze, D. A., Chaudhry, M. U., Souop, M., & Bideux, L. (online). Control Strategies for Solution‐Processed ZTO‐Based Thin‐Film Transistors Tailored Toward Volatile Organic Compound Detection. Advanced Electronic Materials, Article 2400810. https://doi.org/10.1002/aelm.202400810

A breakthrough in the fabrication of amorphous Zn‐Sn‐O (ZTO)‐based thin‐film transistors (TFTs) is presented for volatile organic compound (VOC) detection. The incorporation of highly abundant materials offers substantial economic and environmental b... Read More about Control Strategies for Solution‐Processed ZTO‐Based Thin‐Film Transistors Tailored Toward Volatile Organic Compound Detection.

A novel approach for modelling stress fields induced by shallow water flows on movable beds (2025)
Journal Article
Al-Ghosoun, A., Seaid, M., & Osman, A. S. (2025). A novel approach for modelling stress fields induced by shallow water flows on movable beds. Applied Mathematical Modelling, 142, Article 115960. https://doi.org/10.1016/j.apm.2025.115960

Sediment transport in shallow waters occurs when the water flows over the bed for which the amount of generated sediments can be determined from the transport mechanism caused by the consequent flow. Recently, investigating the bed... Read More about A novel approach for modelling stress fields induced by shallow water flows on movable beds.

Finite-Precision Arithmetic Transceiver for Massive MIMO Systems (2025)
Journal Article
Fang, Y., Chen, L., Chen, Y., & Yin, H. (online). Finite-Precision Arithmetic Transceiver for Massive MIMO Systems. IEEE Journal on Selected Areas in Communications, https://doi.org/10.1109/JSAC.2025.3531532

Efficient implementation of massive multiple-input-multiple-output (MIMO) transceivers is essential for the next-generation wireless networks. To reduce the high computational complexity of the massive MIMO transceiver, in this paper, we propose a ne... Read More about Finite-Precision Arithmetic Transceiver for Massive MIMO Systems.

Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems (2025)
Presentation / Conference Contribution
Demirbaga, U., Singh Aujla, G., & Sun, H. (2025, June). Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

As the scale of data continues to grow exponentially, managing resource allocation and energy consumption in big data systems becomes increasingly complex and critical. Moreover, with big data systems, energy efficiency is more important daily. In cl... Read More about Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems.

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks (2025)
Presentation / Conference Contribution
Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency o... Read More about COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks.

Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks (2025)
Presentation / Conference Contribution
Dua, A., Jindal, A., Singh Aujla, G., & Sun, H. (2025, June). Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

6G applications rely on data-intensive AI models for network optimization. These demand a scalable and energy-efficient framework to handle massive device networks with stringent latency requirements which current solutions struggle to support. Even... Read More about Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks.