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날짜 2015-10-15 10:00 
일시 2015/10/15, 10AM 
장소 E6-2, 5th fl. #5318 
연사 Dr. Mark D. Bird (Florida State University) 

Development of Large-Bore, High Field Magnets at the NHMFL

2015/10/15(Thurs) 10AM, E6-2, (RM)#5318
Dr. Mark D. Bird , Florida State University


The National High Magnetic Field Laboratory (MagLab) provides themost intense dc and pulsed magnetic fields worldwide for a variety of types of experiments in physics, chemistry, biology and other sciences. 

The MagLab includes 7 user facilities: 

1) Pulsed magnets up to 101 T for ~10 ms, 

2) dc powered magnets up to 45 T, 

3) high-resolution NMR magnets up to 21.1 T, 

4) MRI magnets up to 21 T for rodents, 

5) Ion-Cyclotron Resonance magnets up to 21 T, 

as well as 6) ultra-high ratios o field to temperature including 15 T at 0.4 mK. 

Presently the MagLab is one of the leading labs worldwide developingultra-high field dc magnets using high-temperature superconductors (HTS). 

As early as 2008 an HTS test coil at the MagLab reached 35 T (4 T HTS coil inside 31 T resistive magnet). Quench protection systems that can be scaled to real user magnets were first demonstrated in 2011. 

Individual HTS coils have been intentionally quenched up to 80 times without degradation. In 2015 a 27 T all-superconducting magnet was tested as well as testing of prototype coils 

for a 32 T all-superconducting user magnet was completed. The 32 T system should be open to external users in 2016. 

Magnet Technology based on HTS materials could be used in the development of Axion Detectors, providing a unique combination of field and bore for the search for dark matter. 

 

Contact: CAPP Administraion Office(350-8166) 

번호 날짜 장소 제목
507 2019-06-28 14:00  E6-2, #1322  1st Research-exchange meeting of computational material physics file
506 2016-05-11 16:00  E6-2. #1323(1st fl.)  The quest for novel high-temperature superconductors---Prospects and progress in iridates
505 2018-02-12 15:00  #C303, (Creation Hall 3F, KAIST Munji Campus)  The recent result of XMASS Experiment
504 2022-09-30 16:00  E6-2. 1st fl. #1323 & Zoom  Spin-orbit torque-based spintronic devices file
503 2019-01-07 15:00  E6-2. 2st fl. #2501  Many-Body Invariants for Multipoles in Higher-Order Topological Insulators file
502 2024-01-25 16:00  CAPP Seminar Room C303, Creation Hall, KAIST Munji Campus  [CAPP seminars] Detecting Gravitational Waves by Elecromagnetic Cavity
501 2016-10-18 13:30  1st fl. #1323(E6-2)  "Visualization of oxygen vacancy in motion and the interplay with electronic conduction"
500 2016-04-28 15:00  #2501(E6-2. 2nd fl.)  Lattice/Spin/Charge Coupling in 5d Pyrochlore Cd2Os2O7
499 2019-12-13 13:00  #2501, E6-2  Computational Material Designs: Current Status and Future Directions file
498 2023-11-09 16:00  E6-2(Natural Science B/D). 1st fl. #1323  Assessing the Capability of Near-Term Photonic Devices Towards Quantum Supremacy
497 2018-09-04 14:30  E6-2. 2st fl. #2502  Ultrafast time- and angle-resolved photoemission spectroscopy (tr-ARPES) with extreme ultraviolet laser pulses file
496 2016-04-08 16:00  E6-2. 5st fl. #1501  Spectroscopic studies of iron-based superconductors : what have we learned?
495 2023-07-26 10:00  CAPP Seminar Room C303, Creation Hall, KAIST Munji Campus  [CAPP Seminar] Am Expansive Search for Dark Matter with ADMX and DM Radio
494 2016-10-07 16:00  E6-2. #1323(1st fl.)  “Tilt engineering of 4d and 5d transition metal oxides?”
493 2020-10-16 14:30  https://kaist.zoom.us/j/89198078609  Nanoscale magnetic resonance detection towards nano MRI file
492 2015-12-02 16:00  E6-2, #1323  Samarium Hexaboride: Is it a Topological insulator?
491 2020-10-16 16:00  https://kaist.zoom.us/j/89198078609  Hidden room-temperature ferroelectricity in CaTiO3 revealed by a metastable octahedral rotation pattern file
490 2015-11-19 16:00  E6-2, #1323  Emergent Collective Phenomena and Functions at Reduced Dimensions
489 2016-05-16 16:00  #1323(E6-2, 1st Fl.)  Tuning microwave cavities with biased nonlinear dielectrics for axion searches
488 2018-10-12 14:30  E6-2. 1st fl. #1323  Quantum Advantage in Learning Parity with Noise file