3 citations · 4 across the 6 of their papers we have counts for
6 papers
Coarsening dynamics of fingerprint labyrinthine patterns: Machine learning assisted characterization
Supriyo Ghosh, Vinicius Yu Okubo, Kotaro Shimizu +3
Fingerprint labyrinthine patterns exhibit a level of structural complexity beyond simple stripe phases, combining local stripe order with a dense network of point-like defects. Unl…
Disorder-induced spin-cluster magnetism in a doped kagome spin liquid candidate
Arnab Seth, Joseph C. Prestigiacomo, Aini Xu +6
The search for new quantum spin liquid materials relies on systems with strong frustration such as spins on an ideal kagome lattice. However, lattice imperfections can have substan…
Magnetic Nonlinear Response of UPt: An augmented Landau approach
Trevor D. Ford, K. Matsumoto, B. S. Shivaram
Several heavy fermion materials, including UPt, exhibit a rapid but gradual rise in the magnetization at a critical field, without an apparent phase transition at any temperatu…
Non-Analytic Magnetic Response and Intrinsic Ferromagnetic Clusters in a Dirac Spin Liquid Candidate
B. S. Shivaram, J. Prestigiacomo, Aini Xu +5
Finding distinct signatures of a quantum spin liquid (QSL) is an ongoing quest in condensed matter physics, invariably complicated by the presence of disorder in real materials. In…
Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram +1
Defects influence diverse properties of materials, shaping their structural, mechanical, and electronic characteristics. Among a variety of materials exhibiting unique defects, mag…
Machine Learning Assisted Characterization of Labyrinthine Pattern Transitions
Kotaro Shimizu, Vinicius Yu Okubo, Rose Knight +5
We present a comprehensive approach to characterizing labyrinthine structures that often emerge as a final steady state in pattern forming systems. We employ advanced machine learn…