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Cenke Xu6/22/26, 10:00 AM
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Sho Araki (Osaka university)6/22/26, 1:00 PM
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Dr Akira Matsumoto (Graduate School of Science, Osaka Metropolitan University)6/22/26, 2:00 PM
We numerically study the Fidkowski-Kitaev (FK) model using the density matrix renormalization group (DMRG), a tensor network method in the Hamiltonian formalism.
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The 4-fermi interaction of the FK model can generate a mass gap without symmetry-breaking fermion condensation.
Thus, it is expected that low-energy modes of one chirality will be decoupled from those of the other by a large mass... -
Tatsuya Yamaoka (The University of Osaka)6/22/26, 3:00 PM
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Tatsuhiro Misumi (Kindai University)6/22/26, 4:30 PM
Physics-Informed Neural Networks (PINNs) have emerged as powerful tools for solving differential equations by incorporating physical constraints directly into the loss function. In this talk, I explore the potential of PINNs in theoretical physics, ranging from non-linear PDEs to lattice field theory. The main focus of this talk is the application of machine learning to lattice fermions. I...
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