Roadmap on artificial intelligence and big data techniques for superconductivity
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 …
different modelling, design, monitoring, manufacturing and operation purposes of different …
[HTML][HTML] Critical current parameterization of high temperature superconducting tapes: A novel approach based on fuzzy logic
NVU Suresh, A Sadeghi, M Yazdani-Asrami - Superconductivity, 2023 - Elsevier
In this study a novel method was presented to parameterize the critical current of Yttrium
Barium Copper Oxide (YBCO) tapes based on their width, thickness, magnetothermal …
Barium Copper Oxide (YBCO) tapes based on their width, thickness, magnetothermal …
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 …
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 …
of overhead transmission lines (OHTL) is of paramount importance for residents' healthcare …
Artificial intelligence-driven model for resistive superconducting fault current limiter in future electric aircraft
D Yan, A Sadeghi, M Yazdani-Asrami… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fast and accurate electrothermal characterization of superconducting fault current limiters
(SFCLs) is critically important for their performance evaluation. At the design stage of the …
(SFCLs) is critically important for their performance evaluation. At the design stage of the …
[HTML][HTML] Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique
SA Bonab, M Yazdani-Asrami - International Journal of Hydrogen Energy, 2024 - Elsevier
Hydrogen, as a sustainable fuel for transportation sector as well as some other heavy
industries, should be stored or transferred in liquid phase. To prevent the evaporation of …
industries, should be stored or transferred in liquid phase. To prevent the evaporation of …
A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes
Index-value, or so-called n-value prediction is of paramount importance for understanding
the superconductors' behaviour specially when modeling of superconductors is needed …
the superconductors' behaviour specially when modeling of superconductors is needed …
Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques
The advent of superconducting bulks, due to their compactness and performance, offers new
perspectives and opportunities in many applications and sectors, such as magnetic field …
perspectives and opportunities in many applications and sectors, such as magnetic field …
Machine learning-based model for the intelligent estimation of critical heat flux in nanofluids
SA Bonab, M Yazdani-Asrami - Nano Express, 2024 - iopscience.iop.org
The rising demand for advanced energy systems requires enhanced thermal management
strategies to maximize resource utilization and productivity. This is quite an important …
strategies to maximize resource utilization and productivity. This is quite an important …
Surrogate modeling for magnetic and mechanical analysis of superconducting magnets for fusion
S Packman, N Riva, P Rodriguez-Fernandez - 2024 - researchsquare.com
Fusion energy has the potential to change the global energy economy and provide an
essential technology to stop climate change [1]. The most promising candidates to realize a …
essential technology to stop climate change [1]. The most promising candidates to realize a …