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SUMMARY:Learning quark-gluon plasma properties holographically with neural
  ODEs
DTSTART;VALUE=DATE-TIME:20261108T060000Z
DTEND;VALUE=DATE-TIME:20261108T063000Z
DTSTAMP;VALUE=DATE-TIME:20261023T112056Z
UID:indico-contribution-2956@indico.itp.ac.cn
DESCRIPTION:Speakers: Song He (Ningbo University)\nWe use neural ODEs and 
 state-of-the-art lattice QCD thermodynamics to calibrate a holographic Ein
 stein-Maxwell-Dilaton model with Gauss-Bonnet corrections. The model quant
 itatively reproduces the equation of state at zero and finite baryon chemi
 cal potential and predicts the phase structure in the T-mu_B plane\, a tem
 perature-dependent ratio of shear viscosity over entropy\, and a peaked ra
 tio of bulk viscosity over entropy\, while remaining consistent with therm
 odynamic constraints.\n\nhttps://indico.itp.ac.cn/event/417/contributions/
 2956/
LOCATION:
URL:https://indico.itp.ac.cn/event/417/contributions/2956/
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