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SUMMARY:Physics-Informed Neural-Network Modeling of Axion–Photon Convers
 ion in Structured Electromagnetic Fields
DTSTART;VALUE=DATE-TIME:20260812T022000Z
DTEND;VALUE=DATE-TIME:20260812T024000Z
DTSTAMP;VALUE=DATE-TIME:20260824T134834Z
UID:indico-contribution-2713@indico.itp.ac.cn
DESCRIPTION:Speakers: Nikolai Akintsov (Nantong University)\nThe presentat
 ion concerns a physics-informed neural-network framework for solving coupl
 ed axion–Maxwell equations in inhomogeneous electromagnetic backgrounds.
  In particular\, it considers numerical modelling of axion–photon conver
 sion in resonant and non-uniform field configurations\, with potential app
 lications to haloscopes\, helioscopes\, and quantum-sensor-based axion det
 ection.\n\nhttps://indico.itp.ac.cn/event/416/contributions/2713/
LOCATION:Conference Center (2F) Back Area
URL:https://indico.itp.ac.cn/event/416/contributions/2713/
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