53 citations · 91 across the 9 of their papers we have counts for
10 papers
Atomic Resolution Observations of Nanoparticle Surface Dynamics and Instabilities Enabled by Artificial Intelligence
Peter A. Crozier, Matan Leibovich, Piyush Haluai +9
Nanoparticle surface structural dynamics is believed to play a significant role in regulating functionalities such as diffusion, reactivity, and catalysis but the atomic-level proc…
Evaluating Unsupervised Denoising Requires Unsupervised Metrics
Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan +5
Unsupervised denoising is a crucial challenge in real-world imaging applications. Unsupervised deep-learning methods have demonstrated impressive performance on benchmarks based on…
The role of surface spin polarization on ceria-supported Pt nanoparticles
Byungkyun Kang, Joshua L. Vincent, Peter A. Crozier +1
In this work, we employ first-principles simulations to investigate the spin polarization of CeO-(111) surface and its impact on interactions between a ceria support and Pt nan…
Adaptive Denoising via GainTuning
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro +3
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets. These models achieve the current state of the art, but they have difficulties g…
An Light Illumination System for an Aberration-Corrected Environmental Transmission Electron Microscope
Qianlang Liu, Barnaby D. A. Levin, Diane M. Haiber +2
In this work, an optic fiber based illumination system integrated into an aberration-corrected environmental transmission electron microscope (ETEM) is designed,…
Fluxional Behavior at the Atomic Level and its Impact on Activity: CO Oxidation over CeO-supported Pt Catalysts
Joshua L. Vincent, Peter A. Crozier
Reducible oxides are widely used catalyst supports that can increase oxidation reaction rates by transferring their lattice oxygen at the metal-support interface. The interfacial o…
Developing and Evaluating Deep Neural Network-based Denoising for Nanoparticle TEM Images with Ultra-low Signal-to-Noise
Joshua L. Vincent, Ramon Manzorro, Sreyas Mohan +6
A deep convolutional neural network has been developed to denoise atomic-resolution TEM image datasets of nanoparticles acquired using direct electron counting detectors, for appli…
Unsupervised Deep Video Denoising
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent +5
Deep convolutional neural networks (CNNs) for video denoising are typically trained with supervision, assuming the availability of clean videos. However, in many applications, such…
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent +6
Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural networks (CNNs) provide the current state of the art in denoising natural images, where they p…
Chemical Kinetics for Operando Electron Microscopy of Catalysts: 3D Modeling of Gas and Temperature Distributions During Catalytic Reactions
Joshua L. Vincent, Jarod W. Vance, Jayse T. Langdon +2
environmental transmission electron microscopy (ETEM) is a powerful tool for observing structural modifications taking place in heterogeneous catalysts under rea…