A5101570010- Topological Materials and Phenomena
- Bioinformatics and Genomic Networks
- Graphene research and applications
- Complex Network Analysis Techniques
- Orbital Angular Momentum in Optics
- Advanced Graph Neural Networks
- Cold Atom Physics and Bose-Einstein Condensates
- Experimental and Theoretical Physics Studies
- Gene expression and cancer classification
- Diamond and Carbon-based Materials Research
- Algebraic and Geometric Analysis
- Quantum Mechanics and Non-Hermitian Physics
- Advanced Condensed Matter Physics
- Optical Polarization and Ellipsometry
- Quantum many-body systems
- Opinion Dynamics and Social Influence
- Quantum chaos and dynamical systems
- Gene Regulatory Network Analysis
- Sperm and Testicular Function
Peking University
2019-2022
Collaborative Innovation Center of Quantum Matter
2019-2022
Xidian University
2019-2021
South China Normal University
2021
We uncover an alternative two-particle Berry phase mechanism to realize exotic corner modes in second-order topological insulators (TIs) and superconductors (TSCs) with time-reversal symmetry. show that the nontrivial pseudospin textures of edge states two different types two-dimensional TIs give rise geometric phases particle-hole particle-particle channels, respectively, for which mass domain walls or intrinsic $\ensuremath{\pi}$ junctions emerge across corners when external magnetic field...
The study of topological properties by machine learning approaches has attracted considerable interest recently. Here we propose the invariants that are unique in non-Hermitian systems. Specifically, train neural networks to predict winding eigenvalues four prototypical Hamiltonians on complex energy plane with nearly $100\%$ accuracy. Our demonstrations Hatano-Nelson model, Su-Schrieffer-Heeger model and generalized Aubry-Andr\'e-Harper one dimension, two-dimensional Dirac fermion terms...
The accumulated omic data provides an opportunity to exploit the mechanisms of cancers and poses a challenge for their integrative analysis. Although extensive efforts have been devoted address this issue, current algorithms result in undesirable performance because complexity patterns heterogeneity data. In study, ultimate goal is propose effective efficient algorithm (called NMF-DEC) identify clusters by integrating interactome transcriptome By treating expression profiles genes as...
Light beams carrying orbital-angular-momentum (OAM) play an important role in optical manipulation and communication owing to their unbounded state space. However, it is still challenging efficiently discriminate OAM modes with large topological charges thus only a small part of the states have been usually used. Here we demonstrate that neural networks can be trained sort unknown superpositions. Using intensity images generalized simulations experiments as input data, illustrate our network...
We examine the topological superfluid phases for ultracold fermions in presence of two-dimensional (2D) synthetic spin-orbit (SO) couplings which have been well realized recent experiments. Specifically, we focus on 2D Dirac semimetal and SO coupled quantum anomalous Hall model, together with an attractive Hubbard interaction can induce a phase systems. The are studied systematically based self-consistent theories. In particular, interesting transition between...
Three-dimensional 3rd-order topological insulators (TOTIs) and superconductors (TOTSCs), as the highestorder phases hosting zero corner modes in physical dimension, has sparked extensive research interest. However, such states have not been discovered reality due to lack of experimental schemes realization. Here, we propose a novel surface Chern-Simons (CS) theory for phases, show that enables feasible systematic design TOTIs TOTSCs. We emergence Dirac (Majorana) is entirely captured by an...