44 10 859 https://linen-dog.lnx.warwick.ac.uk/files/original/26fa16fc388e494a36a6ed8e4ef7d2a9.pdf 01aca98ee74a4d842c6f47f888356215 Academic Paper An academic paper Abstract The abstract of the paper We consider two-layer ReLU networks with two symmetric neuron pairs and a skip connec- tion, constrained to interpolate four symmetric data points. We study the KKT points of the squared-norm minimisation problem, where the biases and skip connection are unpenalised. By constructing feasible descent directions, we show that every KKT point represents the unique ridgeless interpolant. We further establish that KKT points have balanced parame- ters and no cancellation between coincident slope jumps. Combining these results with the relationship between the squared norm and total variation, we prove that every feasible KKT point is a global minimiser of the squared-norm interpolation problem. Meta Tags Meta tags ReLU Neural Networks, KKT Conditions, Ridgeless Interpolation, Total Variation, Mathematical Optimisation, Minimum-Norm Interpolation Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource KKT Points and Ridgeless Interpolation in Symmetric ReLU Networks Subject The topic of the resource Theoretical Machine Learning Date A point or period of time associated with an event in the lifecycle of the resource 15th October 2026 Contributor An entity responsible for making contributions to the resource Dominik Vuko https://linen-dog.lnx.warwick.ac.uk/files/original/0ba5003631ee2fe84a0498e461a1a7fa.png de88847660bd058782f57ca22fa0b3e9 Academic Poster An academic poster Meta Tags Meta tags Formalisation, Lean, Group theory, Mathematics, Functional programming Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource L∃∀Ning Into Group Theory: An introduction to formalisation and group theory through Lean Creator An entity primarily responsible for making the resource Archisha Biswas Contributor An entity responsible for making contributions to the resource Dr Robert Kropholler (Supervisor) Subject The topic of the resource Formalisation and group theory https://linen-dog.lnx.warwick.ac.uk/files/original/a6536e9e7952e0d08d395931304f2a6c.pdf 101e9f405e1fcbd2a074e7d3c02a1cfd Academic Paper An academic paper Abstract The abstract of the paper This paper examines whether labour market conditions are associated with university degree outcomes in UK higher education. Using Higher Education Statistics Agency (HESA) data on undergraduate, first degree classifications from 2006/07 to 2024/25, we analyse the relationship between graduating cohorts’ unemployment conditions during penultimate and final years of study, and the percentage of first degree qualifications awarded first class honours. We find a consistently negative relationship between unemployment and first-class attainment, with limited statistical significance nationally. The resulting association we estimate is stronger and statistically significant in subject-level analysis. Meta Tags Meta tags Economics, Higher Education, Unemployment, UK Labour Market, Academic Outcomes Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Labour Market Uncertainty and University Student Outcomes: Evidence from HESA Graduating Cohorts Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Marta Radian https://linen-dog.lnx.warwick.ac.uk/files/original/8e39dc669997fb267337bcfc6f07ae88.ppt 64fc5573f09fe9a9928a395857726aea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper Lamb waves are used in non-destructive testing of materials, often to identify and characterise defects. Electromagnetic acoustic transducers (EMATs) have the advantage over traditional piezoelectric transducers that they do not require couplant and can be used at higher temperatures, however using unphased comb EMAT arrays only allows the generation of one set of Lamb wave modes per array geometry. Using phased comb EMAT arrays on a plate allows generation of a variety of single lamb wave modes via an adjustable adjacent-EMAT time delay. A time-delay dependent excitation spectrum for a general EMAT phased comb array was programmed and verified experimentally for a 4 EMAT phased comb array used to generate Lamb wave modes on an ~8.109mm isotropic aluminium plate. Meta Tags Meta tags Lamb waves, phased EMAT array, mode isolation, comb EMAT array, phasing Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Marcel Szczech Contributor An entity responsible for making contributions to the resource Professor Rachel Edwards Title A name given to the resource Lamb wave mode isolation in isotropic metal plates Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/6df29ca41b79dc6d73135c7558a7a59c.pdf f0fb510ad8361814547a0965757caf43 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematics Academic Poster An academic poster Abstract The abstract of the paper The project builds on Leung and Turrini (AAMAS 2024) and further studies learning-based partner selection and opt-out strategies under defection bias in social dilemmas. Agents learn whom to engage and when to exit in defector-heavy environments. Our findings demonstrate that cooperation breaks down nonlinearly once defection bias exceeds a critical threshold. Meta Tags Meta tags Reinforcement learning, Prisoner’s Dilemma, Partner selection,Q-learning, Boltzmann exploration, multi-agents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Rachel Zhang & Hannah Wu Contributor An entity responsible for making contributions to the resource Paolo Turrini and Chin-wing Leung Subject The topic of the resource Computational social science Title A name given to the resource Learning Partner Selection and Opt-Out Strategies under Defection Bias in Social Dilemmas Description An account of the resource Mathematics and Statistics Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/94d5742b6a836dff258c40998ad19a10.pdf d8d44ea4f787fb70f5695acb2f8e1cc6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper A poster detailing the production of light curves using Python code, specifically focusing on the Wasp-18b exoplanet. Also involves a literature review of two heavily relevant academic papers. Meta Tags Meta tags astrophysics, exoplanets, light curves, literature review Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Prem Pankhania Subject The topic of the resource Physics Title A name given to the resource Light Curve Production Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://linen-dog.lnx.warwick.ac.uk/files/original/d28dff1ea248ef7133e55554f7b5d019.pdf 9a19872ba7d2d92644a4644f829c4ecc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper Removal of line defects with winding number larger than 1 in cholesteric liquid crystals can lead to some interesting arrangements of different characterisations of areas within the liquid crystal. Meta Tags Meta tags liquid crystals, cholesterics, physics, soft matter, line defects, contact topology, optically anisotropic materials Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource James Rampton Contributor An entity responsible for making contributions to the resource Gareth Alexander Subject The topic of the resource Physics Title A name given to the resource Line Defects in Cholesteric Liquid Crystals with Large Winding Number Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://linen-dog.lnx.warwick.ac.uk/files/original/a679fa2a218377b5abc38721fa7433ac.pdf 1b03331be23c1ace167d1e17906e3ca9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematics Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lines on Non-Singular Cubic Surfaces Subject The topic of the resource Mathematics Creator An entity primarily responsible for making the resource Jack Lucas Date A point or period of time associated with an event in the lifecycle of the resource 2023 Algebraic Geometry Tag Algebraic Surfaces Intersection Theory Tag Jack Lucas Mathematics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Hyperlink A link, or reference, to another resource on the Internet. URL https://abelaineladinez.wixsite.com/abbysurssblog Meta Tags Meta tags Development, Centrosomes, Localisation, C. elegans, Molecular Biology Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Localising Centrosomal Proteins During Embryogenesis Description An account of the resource Blog documenting my experience within a developmental biology lab, exploring new techniques and molecular biology skills. Creator An entity primarily responsible for making the resource Abelaine Ladinez Subject The topic of the resource Life Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/acfbfb30df2e05deeb3d24055c40868b.pdf a8ff62ed5fc99ee9b14fca0d4bbecc2d Academic Poster An academic poster Abstract The abstract of the paper Boron nanoclusters can form planar, cage-like, open and compact structures because electron-deficient multicentre bonding produces many low-energy arrangements. Identifying stable structures means the use of a large number of geometry optimisations, making direct screening with density functional theory computationally expensive. In this project, 125 AIRSS-generated candidates for each cluster size from B₁ to B₂₀₀ were independently optimised using the 7NET, MACE and PET-MAD machine-learning interatomic potentials, giving 75,000 optimisation attempts. The lowest-energy converged structure from each model and cluster size was selected, producing 600 structures for analysis. PET-MAD achieved the highest overall convergence at 99.83%, followed by 7NET at 99.44% and MACE at 96.92%. 7NET generally produced the most compact, highly coordinated structures, while PET-MAD gave the closest qualitative comparison with an independent VASP-DFT B₅₃ reference. These results show that MLIPs can efficiently screen boron nanoclusters, although their predictions remain model-dependent and require matched DFT calculations for rigorous validation. Meta Tags Meta tags Chemistry, Computational, Boron Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine Learning Compared with DFT: Streamlining Boron-Cluster Simulations Creator An entity primarily responsible for making the resource Mr. Daniel Lowe Contributor An entity responsible for making contributions to the resource Dr. Bora Karasulu Subject The topic of the resource Boron Nanoclusters