348 citations · 445 across the 4 of their papers we have counts for
4 papers
Principal Component Analysis for Fermionic Critical Points
Natanael C. Costa, Wenjian Hu, Z. J. Bai +2
We use determinant Quantum Monte Carlo (DQMC), in combination with the principal component analysis (PCA) approach to unsupervised learning, to extract information about phase tran…
Discovering Phases, Phase Transitions and Crossovers through Unsupervised Machine Learning: A critical examination
Wenjian Hu, Rajiv R. P. Singh, Richard T. Scalettar
We apply unsupervised machine learning techniques, mainly principal component analysis (PCA), to compare and contrast the phase behavior and phase transitions in several classical…
Effects of an Additional Conduction Band on Singlet-Antiferromagnet Competition in the Periodic Anderson Model
Wenjian Hu, Richard T. Scalettar, Edwin W. Huang +1
The competition between antiferromagnetic (AF) order and singlet formation is a central phenomenon of the Kondo and Periodic Anderson Hamiltonians, and of the heavy fermion materia…
Interplay of Magnetic Order, Pairing and Phase Separation in a One Dimensional Spin Fermion Model
Wenjian Hu, Richard T. Scalettar, Rajiv R. P. Singh
We consider a lattice model of itinerant electrons coupled to an array of localized classical Heisenberg spins. The nature of the ground state ordered magnetic phases that result f…