1 citations · 2 across the 4 of their papers we have counts for
4 papers
EAA: Automating materials characterization with vision language model agents
Ming Du, Yanqi Luo, Srutarshi Banerjee +3
We present Experiment Automation Agents (EAA), a vision-language-model-driven agentic system designed to automate complex experimental microscopy workflows. EAA integrates multimod…
Training-Free Inference for High-Resolution Sinogram Completion
Jiaze E, Srutarshi Banerjee, Tekin Bicer +3
High-resolution sinogram completion is critical for computed tomography reconstruction, as missing projections can introduce severe artifacts. While diffusion models provide strong…
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting
Jiaze E, Srutarshi Banerjee, Tekin Bicer +3
Computed tomography (CT) is widely used in scientific imaging systems such as synchrotron and laboratory-based nano-CT, but acquiring full-view sinograms requires high radiation do…
3D Imaging of Magnetic Domains in Nd2Fe14B using Scanning Hard X-Ray Nanotomography
Srutarshi Banerjee, Doga Gursoy, Junjing Deng +5
Nanoscale structural and electronic heterogeneities are prevalent in condensed matter physics. Investigating these heterogeneities in three dimensions (3D) has become an important…