44 citations · 123 across the 10 of their papers we have counts for
10 papers
Deep-learning design of graphene metasurfaces for quantum control and Dirac electron holography
Chen-Di Han, Li-Li Ye, Zin Lin +2
Metasurfaces are sub-wavelength patterned layers for controlling waves in physical systems. In optics, meta-surfaces are created by materials with different dielectric constants an…
Optical properties of two dimensional Dirac Weyl materials with a flatband
Li-Li Ye, Chen-Di Han, Ying-Cheng Lai
The emergence of a flat band in Dirac-Weyl materials offers new possibilities for electronic transitions, leading to stronger interaction with light. As a result, the optical condu…
Spin-dependent edge states in two-dimensional Dirac materials with a flat band
Li-Li Ye, Chen-Di Han, Ying-Cheng Lai
The phenomenon of spin-dependent quantum scattering in two-dimensional (2D) pseudospin-1/2 Dirac materials leading to a relativistic quantum chimera was recently uncovered. We inve…
Geometry-induced wavefunction collapse
Li-Li Ye, Chen-Di Han, Liang Huang +1
When a quantum particle moves in a curved space, a geometric potential can arise. In spite of a long history of extensive theoretical studies, to experimentally observe the geometr…
Generating extreme quantum scattering in graphene with machine learning
Chen-Di Han, Ying-Cheng Lai
Graphene quantum dots provide a platform for manipulating electron behaviors in two-dimensional (2D) Dirac materials. Most previous works were of the "forward" type in that the obj…
Optical response of two-dimensional Dirac materials with a flat band
Chen-Di Han, Ying-Cheng Lai
Two-dimensional Dirac materials with a flat band have been demonstrated to possess a plethora of unusual electronic properties, but the optical properties of these materials are le…
Tomography of time-dependent quantum spin networks with machine learning
Chen-Di Han, Bryan Glaz, Mulugeta Haile +1
Interacting spin networks are fundamental to quantum computing. Data-based tomography of time-independent spin networks has been achieved, but an open challenge is to ascertain the…
Adaptable Hamiltonian neural networks
Chen-Di Han, Bryan Glaz, Mulugeta Haile +1
The rapid growth of research in exploiting machine learning to predict chaotic systems has revived a recent interest in Hamiltonian Neural Networks (HNNs) with physical constraints…
Chaos based Berry phase detector
Cheng-Zhen Wang, Chen-Di Han, Hong-Ya Xu +1
The geometric or Berry phase, a characteristic of quasiparticles, is fundamental to the underlying quantum materials. The discoveries of new materials at a rapid pace nowadays call…
Decay of semiclassical massless Dirac fermions from integrable and chaotic cavities
Chen-Di Han, Cheng-Zhen Wang, Hong-Ya Xu +2
Conventional microlasing of electromagnetic waves requires (1) a high cavity and (2) a mechanism for directional emission. Previous theoretical and experimental work demonstrat…