News & Updates
Latest updates, announcements, and achievements from our group
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.
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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.
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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 presence of nanoscale domain boundaries within micrometer-sized LiCoO2 single crystals, which act as primary hotspots for strain accumulation and microcrack formation during cycling.
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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 10-fold greater sensitivity than prior photometric voltage sensing, allows hour-long recordings, and monitors two neuron classes per fiber-optic probe in freely moving mice.
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Article published in IEEE TBME
We propose a Lorentzian-model Informed Neural Representation (LINR) framework for high-quality CEST mapping. LINR employs a self-supervised neural architecture embedding the Lorentzian equation, the fundamental biophysical model of CEST signal evolution, to directly reconstruct high-sensitivity parameter maps from raw z-spectra, eliminating dependency on labeled training data.
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Article published in Advanced Materials
This study analyzes the failure of commercial wireless earbud batteries as a model system within their intended usage context.
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Article published in EES Batteries
This study utilizes explainable machine learning (ML) methodologies to tackle this challenge by analyzing a comprehensive database derived from published differential scanning calorimeter (DSC) testing results.
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Article published in Appl. Phys. Lett.
We utilize fused secondary and backscattered electron images to reconstruct 3D microstructures of porous cathodes with high fidelity.
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Jizhou elevated to IEEE Senior Member
Jizhou Li was elected as the Senior Member of IEEE. Senior Member is the highest grade for which IEEE members can apply.
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Article published in Chin. Phys. Lett.
With physics-informed representation learning, we introduce a data compression method tailored for battery X-ray tomography.
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