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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Innovations in Energy Materials: Unveiling Future Possibilities of Computational Modelling and Atomically Controlled Experiments
Presentation Title Reaching new frontiers to for superconductors using pulsed high magnetic fields
Author(s) Boris Maiorov
On-Site Speaker (Planned) Boris Maiorov
Abstract Scope The promise of fusion technology stemming from high magnetic fields produced by coated conductors and recent records in all-superconducting magnets reinforce the need to study critical currents (Jc) in magnetic fields above 30T. Achieving Jc measurements in pulsed magnetic fields provides a tool for this. Using Fast Programmable Gate Array electronics we measured reproducible current–voltage curves (I-V) in different superconductor thin films and single crystals. We show it is possible to measure Jc in high pinning coated conductors up to 65T. We compare measurements in two of the magnet systems available at Los Alamos Pulsed Field Facility of the National High Magnetic Field Laboratory and show that we are now able to measure Jc continuously as a function of field (H) in our newly commissioned mid-pulse magnet. We determined the window of dH/dt where meaningful data can be obtained (where t is the time).
Proceedings Inclusion? Planned:
Keywords Characterization, Magnetic Materials,

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Machine Learned Multiphysics Modeling: Enhancing Uniform Distribution of Low-Energy Lithium-Ion Transport Channels in Solid Electrolyte Interphase of Electrodes
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Multiphasic model of Solid Electrolyte Interface formation in Lithium-ion batteries
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Nanoscale design of 3D anode and high effective catalysis for high performance Aluminum-air batteries
Optimization of CO2 Reduction Reaction Using Nanoporous Copper Catalysts through Machine Learning-Driven Process Parameter Modeling
Quantum-Assisted Machine Learning Analysis of Silicon-Based Anodes for Lithium Batteries: Thermodynamics, Structural Insights, and Lithium Diffusion. Identifying Challenges and Exploring Novel Candidates
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Resonant Ultrasound Spectroscopy for Rapid Down Selection, Elastic Property Determination, and Model Validation in High-Entropy Materials
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Specialized Machine Learning Interatomic Potential to assess Self-Healing at a W Grain Boundary
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Starrydata2: an Open Platform for Materials Data Curated from Literature
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The Exploration of FeNiMoW-based alloys for High Value Magnetic Materials
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Understanding the role of surface hydrogens in the hydrogenolysis of plastic waste catalysed by ruthenium nanoparticles
Unraveling the Effects of Dislocations on Ferroelectric Behavior by Molecular Dynamics Simulations
Ab Initio Models for the Prediction of Corrosion-Passivation Behavior in Aqueous Media

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