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Our group seeks to uncover emergent phases and novel physical phenomena in quantum matter. By integrating diverse theoretical techniques, including quantum field theory, numerical simulations, and machine learning, we explore electronic transport, superconductivity, and magnetism, which often exhibit unique behaviors in two-dimensional condensed matter systems.
Meron quartet in twisted magnets
Topological magnons in twisted bilayer CrI3
Novel States of Matter in 2D van der Waals Materials
The two-dimensionality of van der Waals materials facilitates revolutionary techniques such as twist engineering and defect engineering, enabling unprecedented manipulation of material properties. By harnessing these techniques, researchers have uncovered emergent states of matter, including flat bands, localized excitons, correlated electronic phases, and non-collinear magnetic textures, which significantly impact condensed matter physics and materials science.
Our group investigates these novel states in 2D van der Waals materials, with a particular focus on twisted van der Waals magnets. These materials comprise a few atomic layers with relative rotations, characterized by exotic atomic structures arranged in moiré patterns. We employ micromagnetic and atomistic spin simulations to explore the formation of unique magnetic states, such as non-coplanar magnetic orders and topological soliton lattices, along with their magnetization dynamics. Additionally, we assess the potential technological applications of these systems for next-generation memory and computing devices.
Recommended Papers:
Emergence of Stable Meron Quartets in Twisted Magnets
Ab Initio Spin Hamiltonian and Topological Noncentrosymmetric Magnetism in Twisted Bilayer CrI3
Development of Deep Learning Models for Studying Quantum Materials
Artificial intelligence, particularly through deep learning, is becoming an indispensable tool in various fields of physics, including astrophysics, particle physics, and condensed matter physics. In the realm of quantum materials, the advent of new experimental and computational techniques has significantly increased the volume and speed of data collection. Artificial intelligence is set to transform the exploration of novel materials such as superconductors, topological insulators, and magnetic materials.
Our group focuses on developing deep learning models to study twisted van der Waals magnets, a unique class of quantum materials formed by twisting atomically thin magnetic layers. These systems exhibit complex magnetic domain structures due to twist-induced spatial modulation of atomic arrangements. The magnetic images generated can also be leveraged to validate newly developed neural network architectures for processing visual data. Our research not only paves the way for future investigations into these intriguing systems but also creates a remarkable dataset for testing and advancing AI methodologies, reflecting the rapid progress in this field today.
Recommended Papers:
Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets
Two deep learning models for studying twisted magnets
The phase diagram in quantum paraelectric metals
and emergent phonon-mediated spin conductivity
Emergent Exotic Phenomena in 2D Strongly Correlated Metals
Landau's Fermi liquid theory provides a fundamental framework for understanding correlated electronic behaviors in conventional metallic systems. However, it falls short in strongly correlated metallic systems, where electron-electron interactions surpass the renormalization concepts of the Fermi liquid theory. In these systems, a variety of exotic quantum many-body phenomena may arise from these interactions, such as high-temperature superconductivity, non-Fermi liquid behavior, and fractionalized quasiparticles. Developing a theoretical foundation to describe these phenomena has been the focus of decades of research.
Our group investigates emergent phases and novel physical phenomena in two-dimensional metals near quantum critical points. We aim to develop an effective field theory framework to describe a non-Fermi liquid state arising from enhanced electronic interactions. This represents a fundamentally new class of matter that differs from conventional Fermi liquid metals, exhibiting unique physical properties such as the absence of electron quasiparticles, anomalous linear resistivity, and a temperature-dependent Hall coefficient. Additionally, we are exploring anomalous transport phenomena resulting from electronic correlations, with a specific focus on quantum paraelectric metals near metallic ferroelectric quantum critical points.
Recommended Papers:
Disordered non-Fermi liquid fixed point for two-dimensional metals at Ising-nematic quantum critical points
SciPostPhysics, 17, 059 (2024)
Phonon-mediated spin transport in quantum paraelectric metals
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