Wenjuan Song
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View article: Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiation: first machine learning study
Intelligent estimation of critical current density of ReBCO superconductors exposed to irradiation: first machine learning study Open
This paper presents the first intelligent estimator model of the critical current of high-temperature superconductor (HTS) tapes exposed to gamma or neutron radiation using machine learning (ML) techniques. A comprehensive benchmarking ana…
View article: Physics-informed neural network model for transient thermal analysis of superconductors
Physics-informed neural network model for transient thermal analysis of superconductors Open
Thermal stresses in superconducting tapes, resulting from quench, over-current conditions, or high-current faults, can rapidly elevate temperatures, potentially causing hot spots, performance degradation, localized damage, or catastrophic …
View article: Advanced intelligent quench diagnostics for high temperature superconducting coils based on principal component analysis of voltage harmonic ratios and Support Vector Machine
Advanced intelligent quench diagnostics for high temperature superconducting coils based on principal component analysis of voltage harmonic ratios and Support Vector Machine Open
The utilization of superconductors in modern aviation, power and energy, space, healthcare, and quantum sectors offers substantial advantages, including significant energy savings, higher reliability, lower CO2 emissions, higher efficienci…
View article: Biphasic biomimetic scaffolds based on a regionally decalcified bone framework and pre-chondrogenic microspheres for osteochondral defect repair
Biphasic biomimetic scaffolds based on a regionally decalcified bone framework and pre-chondrogenic microspheres for osteochondral defect repair Open
Osteochondral defects are still facing a significant challenge in clinical surgery, making post-trauma repair difficult. Tissue engineering has provided a promising approach to solving these defects. However, existing scaffolds cannot repl…
View article: A Deep Learning-Based Ultra-Fast Surrogate Model for AC Loss Estimation in Superconductors Using COMSOL
A Deep Learning-Based Ultra-Fast Surrogate Model for AC Loss Estimation in Superconductors Using COMSOL Open
High-temperature superconductors (HTS) demonstrate the potential to significantly benefit the energy and transport sectors by enabling high-current densities in cryogenic environments with minimal losses and exceptional efficiency. Finite …
View article: Skatole Alleviates Osteoarthritis by Reprogramming Macrophage Polarization and Protecting Chondrocytes
Skatole Alleviates Osteoarthritis by Reprogramming Macrophage Polarization and Protecting Chondrocytes Open
Osteoarthritis (OA) is the most prevalent joint disease, yet effective disease-modifying OA drugs (DMOADs) remain elusive. Targeting macrophage polarization has emerged as a promising avenue for OA treatment. This study identified skatole …
View article: Electrostatic Interactions and Donnan Equilibrium Explain Effects of Ph and Inorganic Ions on Rejection of Perfluoropentanoic Acid
Electrostatic Interactions and Donnan Equilibrium Explain Effects of Ph and Inorganic Ions on Rejection of Perfluoropentanoic Acid Open
View article: Comparative study on the impact of different E-J relations on the performance of resistive superconducting fault current limiters under high and low impedance faults in cryo-electric aircraft
Comparative study on the impact of different E-J relations on the performance of resistive superconducting fault current limiters under high and low impedance faults in cryo-electric aircraft Open
To achieve the goal of zero emission in aviation, it is critical to advance electric aircraft technologies, especially in short to medium range flights. Superconducting fault current limiters (SFCLs) have shown promising potential in elect…
View article: Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry
Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry Open
Aviation is a major contributor to transportation carbon emissions but aims to reduce its carbon footprint. Sustainable and environmentally friendly green hydrogen fuel is essential for decarbonization of this industry. Using the extremely…
View article: Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique
Enhancing the Predictive Modeling of n-Value Surfaces in Various High Temperature Superconducting Materials Using a Feed-Forward Deep Neural Network Technique Open
In this study, the prediction of n-value (index-value) surfaces—a key indicator of the field and temperature dependence of critical current density in superconductors—across various high-temperature superconducting materials is addressed u…
View article: Intelligent surrogate model of a high-temperature superconducting cable for reliable energy delivery: short-circuit fault performance
Intelligent surrogate model of a high-temperature superconducting cable for reliable energy delivery: short-circuit fault performance Open
High-temperature superconducting (HTS) cables are promising solutions for electric power transmission of renewable energy resources, where their fault performance study is vital to avoid power interruptions in the grid. In this study, a fa…
View article: Cathepsin in Alzheimer's Disease, Parkinson's Disease and Dementia with Lewy Bodies: Mendelian Randomization Study
Cathepsin in Alzheimer's Disease, Parkinson's Disease and Dementia with Lewy Bodies: Mendelian Randomization Study Open
Background Observational studies indicate a strong association between most neurodegenerative disorders and cathepsin, although the causative link remains unclear. Methods This research utilized Mendelian Randomization (MR) with genetic ma…
View article: Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications
Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications Open
Overcurrent cycling refers to the procedure of imposing repetitive overcurrent to superconducting tapes/devices for characterizing their critical current reduction. Characterizing the overcurrent cycling behaviour of Rare Earth Barium Copp…
View article: Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations
Short circuit analysis of a fault-tolerant current-limiting high temperature superconducting transformer in a power system in presence of distributed generations Open
Power transformers are key elements for the safe and reliable delivery of electrical energy generated by renewable energy resources to consumers via transmission lines. Fault-tolerant current-limiting High Temperature Superconducting (FTCL…
View article: Effects of Ph and Inorganic Ions on Electrostatic Interaction of Per-And Poly-Fluoroalkyl Substances and Nanofiltration
Effects of Ph and Inorganic Ions on Electrostatic Interaction of Per-And Poly-Fluoroalkyl Substances and Nanofiltration Open
View article: Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems
Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems Open
The convergence of Information Technology (IT), Operational Technology (OT), and Educational Technology (ET) has led to the emergence of the fourth industrial revolution. As a result, a new concept has emerged known as Digital Twins (DT), …
View article: A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines
A New Intelligent Estimation Method Based on the Cascade-Forward Neural Network for the Electric and Magnetic Fields in the Vicinity of the High Voltage Overhead Transmission Lines Open
The evaluation and estimation of the electric and magnetic field (EMF) intensity in the vicinity of overhead transmission lines (OHTL) is of paramount importance for residents’ healthcare and industrial monitoring purposes. Using artificia…
View article: Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications
Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications Open
Superconducting coil is an essential and critical component in any superconducting apparatus used in large-scale power applications such as in superconducting machines of propulsion systems, in fault current limiters of the distribution sy…
View article: Design, development, and testing of a 6.6 MVA HTS traction transformer for high-speed train applications
Design, development, and testing of a 6.6 MVA HTS traction transformer for high-speed train applications Open
High-temperature superconducting traction transformers (HTSTTs) have the merits of small size and lightweight in comparison with their conventional counterparts. This article reports the development progress of a 6.6 MVA HTSTT operating at…
View article: Impact of Copper Stabilizer Thickness on SFCL Performance with PV-Based DC Systems Using a Multilayer Thermoelectric Model
Impact of Copper Stabilizer Thickness on SFCL Performance with PV-Based DC Systems Using a Multilayer Thermoelectric Model Open
Utilizing renewable energy sources (RESs) to their full potential provides an opportunity for lowering carbon emissions and reaching a state of carbon neutrality. DC transmission lines have considerable potential for the integration of RES…
View article: Roadmap on artificial intelligence and big data techniques for superconductivity
Roadmap on artificial intelligence and big data techniques for superconductivity Open
This paper presents a roadmap to the application of AI techniques and big data (BD) for different modelling, design, monitoring, manufacturing and operation purposes of different superconducting applications. To help superconductivity rese…
View article: Ultra-fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet Using Multi-layer Artificial Neural Networks
Ultra-fast Surrogate Model for Magnetic Field Computation of a Superconducting Magnet Using Multi-layer Artificial Neural Networks Open
Due to the inherent nonlinear and sophisticated nature of superconducting wires/tapes, magnetic field computation of superconducting magnets by means of finite element methods (FEMs) is a time-consuming and complicated procedure. Although …
View article: AC Loss in REBCO Coil Windings Wound With Various Cables: Effect of Current Distribution Among the Cable Strands
AC Loss in REBCO Coil Windings Wound With Various Cables: Effect of Current Distribution Among the Cable Strands Open
To construct large-scale superconducting devices, it is critical to enhance the current carrying capability of superconducting coils. One practical approach is to utilise assembled cables, composed of multiple strands, for the winding. The…
View article: Intelligent Probability Estimation of Quenches Caused by Weak Points in High-Temperature Superconducting Tapes
Intelligent Probability Estimation of Quenches Caused by Weak Points in High-Temperature Superconducting Tapes Open
Fluctuations in the critical current along the length of high-temperature superconducting (HTS) tapes manufactured in the form of coated conductors is a common manufacturing phenomenon. These fluctuations originate in the generation of wea…
View article: Integration of superconducting fault current limiter with solid-state DC circuit breaker
Integration of superconducting fault current limiter with solid-state DC circuit breaker Open
The onboard direct current (DC) system in electric aircraft could face a severe fault current, which is tens of times the nominal current in a short-circuit fault. It is critical to limit the fault current and clear the fault within a few …
View article: Optimizing coil configurations for AC loss reduction in REBCO HTS fast-ramping magnets at cryogenic temperatures
Optimizing coil configurations for AC loss reduction in REBCO HTS fast-ramping magnets at cryogenic temperatures Open
View article: Effect of uninterrupted dabigatran or rivaroxaban on achieving ideal activated clotting time to heparin response during catheter ablation in patients with atrial fibrillation.
Effect of uninterrupted dabigatran or rivaroxaban on achieving ideal activated clotting time to heparin response during catheter ablation in patients with atrial fibrillation. Open
The anticoagulant effect of uninterrupted rivaroxaban therapy appears to be more stable and efficient than dabigatran administration during catheter ablation in patients with AF.
View article: Combined Impact of Asymmetric Critical Current and Flux Diverters on AC Loss of a 6.5 MVA/25 kV HTS Traction Transformer
Combined Impact of Asymmetric Critical Current and Flux Diverters on AC Loss of a 6.5 MVA/25 kV HTS Traction Transformer Open
A 6.5 MVA/25 kV high temperature superconducting (HTS) transformer for the Chinese Fuxing high-speed train has been proposed to replace the oil-based transformers while achieving higher efficiency, lighter weight, and minimized volume. The…
View article: Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring
Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring Open
More than a century after the discovery of superconductors (SCs), numerous studies have been accomplished to take advantage of SCs in physics, power engineering, quantum computing, electronics, communications, aviation, healthcare, and def…
View article: The T-A formulation: an efficient approach to model the macroscopic electromagnetic behaviour of HTS coated conductor applications
The T-A formulation: an efficient approach to model the macroscopic electromagnetic behaviour of HTS coated conductor applications Open
In recent years, the T-A formulation has emerged as an efficient approach for modelling the electromagnetic behaviour of high-temperature superconductor (HTS) tapes in the form of coated conductors (CCs). HTS CCs are characterized by an ex…