activity
20162023
most citedA lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

13 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2023

Spontaneous supercrystal formation during a strain-engineered metal-insulator transition

O. Yu. Gorobtsov, L. Miao, Z. Shao +13

Mott metal-insulator transitions possess electronic, magnetic, and structural degrees of freedom promising next generation energy-efficient electronics. We report a previously unkn…

cs.CV20232 cited

AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources

Anakha V Babu, Tekin Bicer, Saugat Kandel +7

We present an end-to-end automated workflow that uses large-scale remote compute resources and an embedded GPU platform at the edge to enable AI/ML-accelerated real-time analysis o…

physics.app-ph20231 cited

Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy

Saugat Kandel, Tao Zhou, Anakha V Babu +7

With the continuing advances in scientific instrumentation, scanning microscopes are now able to image physical systems with up to sub-atomic-level spatial resolutions and sub-pico…

physics.ins-det202213 cited

A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

Sebastian Strempfer, Tao Zhou, Kazutomo Yoshii +6

Today, most X-ray pixel detectors used at light sources transmit raw pixel data off the detector ASIC. With the availability of more advanced ASIC technology nodes for scientific a…

cond-mat.mtrl-sci20222 cited

CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment

Suvo Banik, Debdas Dhabal, Henry Chan +4

Machine learning models and applications in materials design and discovery typically involve the use of feature representations or "descriptors" followed by a learning algorithm th…

cond-mat.soft2016

Ice grains grow by dissolution, ripening and grain boundary migration

Henry Chan, Mathew J Cherukara, Badri Narayanan +3

Despite the exponential growth in computing resources and the availability of a myriad of different theoretical water models, an accurate, yet computationally efficient molecular l…