News

Article published in Nature Nanotechnology

We demonstrate atomic-scale 3D vector magnetometry via beam-shift-based four-dimensional EMCD, resolving competing spin Hamiltonian interactions in canted antiferromagnet YFeO₃.

RESEARCH

Article published in npj Computational Materials We introduce the Ptychographic Implicit Neural Representation (PtyINR), a self-supervised framework that simultaneously … RESEARCH Two articles published in IEEE ICASSP 2026 Our group presented two papers at ICASSP 2026 in Barcelona, Spain, covering topics in X-ray computed laminography and … RESEARCH

Article published in Patterns

We presents a data-driven solution for X-ray spectro-tomography that bypasses the need for manual markers or extensive training datasets, offering a robust, automated path to high-fidelity chemical …

RESEARCH

Commentary published in Photon Science

We discuss the transformative potential of Agentic AI, an emerging paradigm that automates entire research workflows to revolutionize material characterization in synchrotron science.

RESEARCH

Article published in IJCV

We propose a novel continuous low-rank factorization (CLoRF) by integrating two neural representations into the matrix factorization, capturing spatial and spectral information, respectively.

RESEARCH

Article published in ACS Nano

By employing super-resolved nanoscale X-ray computed tomography (Nano-CT), scanning probe nanodiffraction imaging (SPNDI), and advanced data-driven statistical analysis, we unveil the ubiquitous …

RESEARCH

Article published in Cell

We describe two complementary TEMPO (transmembrane electrical measurements performed optically) voltage-sensing technologies that capture neural oscillations up to 100 Hz. Fiber-optic TEMPO achieves …

RESEARCH