19 citations · 21 across the 5 of their papers we have counts for
8 papers
Enabling Autonomous Electron Microscopy for Networked Computation and Steering
Anees Al-Najjar, Nageswara S. V. Rao, Ramanan Sankaran +6
Advanced electron microscopy workflows require an ecosystem of microscope instruments and computing systems possibly located at different sites to conduct remotely steered and auto…
Microscopy is All You Need
Sergei V. Kalinin, Rama Vasudevan, Yongtao Liu +3
We pose that microscopy offers an ideal real-world experimental environment for the development and deployment of active Bayesian and reinforcement learning methods. Indeed, the tr…
A roadmap for edge computing enabled automated multidimensional transmission electron microscopy
Debangshu Mukherjee, Kevin M. Roccapriore, Anees Al-Najjar +8
The advent of modern, high-speed electron detectors has made the collection of multidimensional hyperspectral transmission electron microscopy datasets, such as 4D-STEM, a routine.…
Discovering Invariant Spatial Features in Electron Energy Loss Spectroscopy Images on the Mesoscopic and Atomic Levels
Kevin M. Roccapriore, Maxim Ziatdinov, Andrew R. Lupini +3
Over the last two decades, Electron Energy Loss Spectroscopy (EELS) imaging with a scanning transmission electron microscope (STEM) has emerged as a technique of choice for visuali…
Sculpting the plasmonic responses of nanoparticles by directed electron beam irradiation
Kevin M. Roccapriore, Shin-Hum Cho, Andrew R. Lupini +2
Spatial confinement of matter in functional nanostructures has propelled these systems to the forefront of nanoscience, both as a playground for exotic physics and quantum phenomen…
Revealing the chemical bonding in adatoms arrays via machine learning of 3D scanning tunneling spectroscopy data
Kevin M. Roccapriore, Qiang Zou, Lizhi Zhang +9
The adatom arrays on surfaces offer an ideal playground to explore the mechanisms of chemical bonding via changes in the local electronic tunneling spectra. While this information…