3 citations · 3 across the 7 of their papers we have counts for
7 papers
Design Principles for Quasi-Isotropic Exchange in Rare-Earth Quantum Magnets
Kotaro Shimizu, Esteban Agustin Ghioldi, Filip Ronning +1
Rare-earth quantum materials provide a promising platform for emergent phenomena ranging from quantum spin liquids with long-range entanglement to topological magnetic textures. Ho…
Creating and Driving a Twist Soliton on a Magnetic Skyrmion Tube
Shoya Kasai, Kotaro Shimizu, Shun Okumura +1
A magnetic skyrmion tube is a three-dimensional topological soliton formed by stacking two-dimensional skyrmions along the out-of-plane direction. Recent real-space observations of…
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…
Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram +2
Labyrinthine stripe patterns are common in many physical systems, yet their lack of long-range order makes quantitative characterization challenging. We investigate the evolution o…
Machine Learning Force-Field Approach for Itinerant Electron Magnets
Sheng Zhang, Yunhao Fan, Kotaro Shimizu +1
We review the recent development of machine-learning (ML) force-field frameworks for Landau-Lifshitz-Gilbert (LLG) dynamics simulations of itinerant electron magnets, focusing on t…
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…