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SUMMARY:Marcin Kowalik (University of Information Technology and Managemen
 t in Rzeszów)
DTSTART:20200717T150000Z
DTEND:20200717T160000Z
DTSTAMP:20260423T035037Z
UID:QTech/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/QTech/7/">Ma
 chine Learning in Cryogenics with the example of data analysis of phase tr
 ansitions in high-temperature superconductors</a>\nby Marcin Kowalik (Univ
 ersity of Information Technology and Management in Rzeszów) as part of QH
 S Lecture Series on Superconducting Phenomena and Electronics\n\n\nAbstrac
 t\nThe usage of artificial neural networks and machine learning methods is
  presented in estimation of critical temperature from AC susceptibility in
  cryogenics experiments. Various methodologies are presented. Particular c
 ryogenic experiments are described and future perspectives are drawn.\n\n[
  https://arxiv.org/abs/2002.03452 ]\n
LOCATION:https://researchseminars.org/talk/QTech/7/
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