Embedded Files
New website: weichichiu.com
My research uncovers how emergent order, topology, and correlations organize quantum materials, and translates that understanding into device-relevant platforms. I combine first-principles electronic-structure calculations, Green's-function and quantum-transport methods, and spectroscopy modeling spanning photoemission, RIXS, and Compton scattering. An emerging effort explores machine learning for quantum materials.
My research uncovers how emergent order, topology, and correlations organize quantum materials, and translates that understanding into device-relevant platforms. I combine first-principles electronic-structure calculations, Green's-function and quantum-transport methods, and spectroscopy modeling spanning photoemission, RIXS, and Compton scattering. An emerging effort explores machine learning for quantum materials.
Energy–momentum causality, emergent horizons, and relativistic analogues in interacting quantum materials.
Emergent topology, charge order, and structural chirality in layered materials, together with nonmagnetic crystalline-topological phases.
Magnetic Weyl phases, anomalous Hall transport, and symmetry-controlled spin textures, including nonorthogonal spin–momentum locking.
Quantitative modeling of coherent photoemission, RIXS, ARPES, and x-ray Compton scattering—connecting measured spectra and emission processes to microscopic electronic structure.
Green’s-function, atomistic, and open-system methods for supercurrent transport and time-dependent quantum dynamics.
Topological electronic phases in sodium-ion anodes—predicted from first principles and probed by x-ray Compton scattering.
Machine Learning & Quantum Materials
Machine Learning & Quantum Materials
Machine-learning approaches for quantum materials. Research details will be added as the program matures.
Page updated
Google Sites
Report abuse