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A fibre optic and machine learning based health monitoring system for superconducting power applications in modern supergrids

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A fibre optic and machine learning based health monitoring system for superconducting power applications in modern supergrids

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Dependable learning and control through Neural ODEs

3D modelling of the R&W TF coil design for EU-DEMO including the winding pack and frictional effects

Controlled learning of pointwise nonlinearities in neural-network-like architectures

The magnet feeders for the European DEMO fusion reactor: Conceptual design and recent advances

Large impact of phonon lineshapes on the superconductivity of solid hydrogen

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

DTT toroidal field conductor samples test in Sultan: DC and AC characterization

Thermoelectric power of overdoped Tl2201 crystals: charge density waves and T1 and T2 resistivities

Technology-Aware Logic Synthesis for Superconducting Electronics

Deterministic equivalent and error universality of deep random features learning

Towards an improved understanding of wind turbine wakes in complex terrain

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

The effect of nacelle-to-rotor size on the wake of a miniature wind turbine

Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach

Studies of crystal collimation for heavy ion operation at the LHC

Quench Detection and Temperature Measurement With Fiber Optic Sensors

Phase Shift Angle Segmentation Modulation for Soft-Switching Medium-Voltage DAB Converter With Series-Connected SiC MOSFETs

Experimental study of stability, quench propagation and detection methods on 15 kA sub-scale HTS fusion conductors in SULTAN

Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Performance Comparison of Cables With Partial Transposition