124 citations · 284 across the 16 of their papers we have counts for
17 papers
An Open-Cell Environmental Transmission Electron Microscopy Technique for In Situ Characterization of Samples in Aqueous Liquid Solutions
Barnaby D. A. Levin, Diane Haiber, Qianlang Liu +1
The desire to image specimens in liquids has led to the development of open-cell and closed-cell techniques in transmission electron microscopy (TEM). The closed-cell approach is c…
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
Yuchen Xu, Andrew M. Thomas, Peter A. Crozier +1
Ridge detection is a classical tool to extract curvilinear features in image processing. As such, it has great promise in applications to material science problems; specifically, f…
Spectroscopic Observation and Modeling of Photonic Modes in CeO2 Nanocubes
Yifan Wang, Shize Yang, Peter A. Crozier
Photonic modes in dielectric nanostructures, e.g., wide gap semiconductor like CeO2 (ceria), has potential for various applications such as light harvesting and information transmi…
Atomic Level Strain Induced by Static and Dynamic Oxygen Vacancies on Reducible Oxide Surfaces
Piyush Haluai, Tara M. Boland, Ethan L. Lawrence +1
Surface strain often controls properties of the material including charge transport and chemical reactivity. Localized surface strain is measured with atomic resolution on (111) ce…
Feature detection and hypothesis testing for extremely noisy nanoparticle images using topological data analysis
Andrew M. Thomas, Peter A. Crozier, Yuchen Xu +1
We propose a flexible algorithm for feature detection and hypothesis testing in images with ultra low signal-to-noise ratio using cubical persistent homology. Our main application…
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…
Simultaneous excitation of phonons at the center and boundaries of Brillouin zones with high energy electron beams
Kartik Venkatraman, Peter A. Crozier
High energy electron beams can now be routinely focused to 1-2 Å and offer the ability to obtain vibrational information from materials using monochromated electron energy-loss spe…
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…
Impact of Aliovalent Alkaline-Earth Metal Solutes on Ceria Grain Boundaries: A Density Functional Theory Study
Tara M. Boland, Peter Rez, Peter A. Crozier +1
Ceria has proven to be an excellent ion-transport and ion-exchange material when used in polycrystalline form and with a high-concentration of aliovalent doped cations. Despite its…
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…
Tracking the Picoscale Spatial Motion of Atomic Columns During Dynamic Structural Change
Barnaby D. A. Levin, Ethan L. Lawrence, Peter A. Crozier
In many materials systems, such as catalytic nanoparticles, the ability to characterize dynamic atomic structural changes is important for developing a more fundamental understandi…
Vibrational Spectroscopy at Atomic Resolution with Electron Impact Scattering
Kartik Venkatraman, Barnaby D. A. Levin, Katia March +2
Atomic vibrations control all thermally activated processes in materials including diffusion, heat transport, phase transformations, and surface chemistry. Recent developments in m…