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Measuring the Magnetic Polarizability Tensor of Non-Symmetrical Metallic Objects (2023)
Journal Article
Özdeğer, T., Ozdeger, T., Davidson, J. L., Davidson, J., Ledger, P. D., Conniffe, D., …Peyton, A. (2023). Measuring the Magnetic Polarizability Tensor of Non-Symmetrical Metallic Objects. IEEE Sensors Journal, 23(17), 20027-20036. https://doi.org/10.1109/jsen.2023.3296439

The Magnetic Polarizability Tensor (MPT) is a representative electromagnetic property of a metallic object, which depends on the size, material, shape, and excitation frequency of the object. The MPT can be used to describe the response of metal dete... Read More about Measuring the Magnetic Polarizability Tensor of Non-Symmetrical Metallic Objects.

libSBOLj3: a graph-based library for design and data exchange in synthetic biology. (2023)
Journal Article
Mısırlı, G. (2023). libSBOLj3: a graph-based library for design and data exchange in synthetic biology. Bioinformatics, 39(8), 3. https://doi.org/10.1093/bioinformatics/btad525

The Synthetic Biology Open Language version 3 data standard provides a graph-based approach to exchange information about biological designs. The new data model has major updates and offers several features for software tools. Here, we present libSBO... Read More about libSBOLj3: a graph-based library for design and data exchange in synthetic biology..

Deep Reinforcement Learning for Smart Energy Networks (2023)
Thesis
Harrold, D. J. B. (2023). Deep Reinforcement Learning for Smart Energy Networks. (Thesis). Keele University

To reduce global greenhouse gas emissions, the world must find intelligent solutions to maximise the utilisation of carbon-free renewable energy sources (RES). Energy storage systems (ESS) can be used to store energy when RES generation exceeds deman... Read More about Deep Reinforcement Learning for Smart Energy Networks.