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Development of a data-driven user-defined hardening model for cyclic behaviour via transformer

• Authors : Lee, Jonghwan; Tasdemir, Burcu; Martin, Michael

Subjects: /dk/atira/pure/core/keywords/faculty_of_enigneering/solid_mechanics; name=Solid Mechanics; Deep learning

• Source: Lee, J, Tasdemir, B, Martin, M, Knowles, D M & Mostafavi, M 2026, 'Development of a data-driven user-defined hardening model for cyclic behaviour via transformer',

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A hybrid offline-online model order reduction approach for damage propagation problems

• Authors : Selvaraj, Jagan; Hallett, Stephen R.

Subjects: Damage mechanics; Finite element analysis; Model order reduction

• Source: Selvaraj, J & Hallett, S R 2026, 'A hybrid offline-online model order reduction approach for damage propagation problems', Computers and Structures, vol. 320, 108046.

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A semi-analytical bridging model for assessing energy dissipation of monolithic and hybrid z-pins in composite laminates

• Authors : Varandas, L. F.; Melro, A. R.; Allegri, G.

Subjects: Composite materials; Delamination; Hybrid z-pins

• Source: Varandas, L F, Melro, A R, Allegri, G & Hallett, S R 2026, 'A semi-analytical bridging model for assessing energy dissipation of monolithic and hybrid z-pins in

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Novel Modeling and Simulation of Superconducting System Based on Cross-Platform J-A Model

• Authors : Zhu, Hanlin; Ma, Jun; Feng, Bin

• Source: Zhu, H, Ma, J, Feng, B, Zhang, Z, Simpson, N & Mellor, P 2026, 'Novel Modeling and Simulation of Superconducting System Based on Cross-Platform J-A Model', IEEE

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Global sensitivity analysis and Bayesian calibration of an advanced cyclic constitutive model for sands via surrogate modelling

• Authors : Pinto, Francisco Javier; Diambra, Andrea

Subjects: /dk/atira/pure/core/keywords/faculty_of_enigneering/earthquake_and_geotechnical; name=Earthquake and Geotechnical

• Source: Pinto, F J & Diambra, A 2026, 'Global sensitivity analysis and Bayesian calibration of an advanced cyclic constitutive model for sands via surrogate modelling', Machine

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Bayesian model parameter learning in linear inverse problems:application in EEG focal source imaging

• Authors : Koulouri, Alexandra; Rimpiläinen, Ville

Subjects: Bayesian statistics; EEG source imaging; low-dimensional representation

• Source: Koulouri, A & Rimpiläinen, V 2025, 'Bayesian model parameter learning in linear inverse problems : application in EEG focal source imaging', Machine Learning: Science

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A Quadratic Programming Model for Fair Resource Allocation

• Authors : Tao, Yanmeng; Jiang, Bo; Cheng, Qixiu ...

Subjects: resource allocation fairness; contribution rate evaluation; quadratic programming model90-10

• Source: Tao, Y, Jiang, B, Cheng, Q, Wang, S, Chen, Y-W (ed.), Zhou, M (ed.) & Wen, T (ed.) 2025, 'A Quadratic Programming Model for Fair Resource Allocation', Mathematics, vol.

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FathomDEM:an improved global terrain map using a hybrid vision transformer model

• Authors : Uhe, Peter; Lucas, Chris; Hawker, Laurence

Subjects: remote sensing; terrain; vision transformer

• Source: Uhe, P, Lucas, C, Hawker, L, Brine, M, Wilkinson, H, Cooper, A, Saoulis, A A, Savage, J & Sampson, C 2025, 'FathomDEM : an improved global terrain map using a hybrid vision transformer

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Defect detection and localisation using guided wave images from array data processed by nonlinear autoregressive exogenous model and Gamma statistical operator

• Authors : Wang, Kangwei; Zhang, Jie; Xiao, Yang

Subjects: defect localisation; Gamma statistical distribution; Guided wave

• Source: Wang, K, Zhang, J, Xiao, Y, Croxford, A J & Yang, Y 2025, 'Defect detection and localisation using guided wave images from array data processed by nonlinear autoregressive exogenous

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Using a Large Language Model (ChatGPT‐4o) to Assess the Risk of Bias in Randomized Controlled Trials of Medical Interventions:Interrater Agreement With Human Reviewers

• Authors : Rose, Christopher James; Bidonde, Julia; Ringsten, Martin

Subjects: ChatGPT; evidence synthesis; RoB

• Source: Rose, C J, Bidonde, J, Ringsten, M, Glanville, J, Potrebny, T, Cooper, C, Muller, A E, Bergsund, H B, Meneses‐Echavez, J F & Berg, R C 2025, 'Using a Large Language

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