Zobrazeno 1 - 10
of 411
pro vyhledávání: '"Crozier, Peter A."'
Autor:
Crozier, Peter A., Leibovich, Matan, Haluai, Piyush, Tan, Mai, Thomas, Andrew M., Vincent, Joshua, Mohan, Sreyas, Morales, Adria Marcos, Kulkarni, Shreyas A., Matteson, David S., Wang, Yifan, Fernandez-Granda, Carlos
Nanoparticle surface structural dynamics is believed to play a significant role in regulating functionalities such as diffusion, reactivity, and catalysis but the atomic-level processes are not well understood. Atomic resolution characterization of n
Externí odkaz:
http://arxiv.org/abs/2407.17669
Publikováno v:
Microscopy and Microanalysis 26 (2020) 134-138
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 currently more common in TEM and has yielded new insights into a number
Externí odkaz:
http://arxiv.org/abs/2308.09832
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, for trend filtering relatively stable atom-shaped objects in image sequ
Externí odkaz:
http://arxiv.org/abs/2302.00816
Autor:
Marcos-Morales, Adria, Leibovich, Matan, Mohan, Sreyas, Vincent, Joshua Lawrence, Haluai, Piyush, Tan, Mai, Crozier, Peter, Fernandez-Granda, Carlos
Unsupervised denoising is a crucial challenge in real-world imaging applications. Unsupervised deep-learning methods have demonstrated impressive performance on benchmarks based on synthetic noise. However, no metrics are available to evaluate these
Externí odkaz:
http://arxiv.org/abs/2210.05553
Photonic modes in dielectric nanostructures, e.g., wide gap semiconductor like CeO2 (ceria), has potential for various applications such as light harvesting and information transmission. To fully understand the properties of such phenomenon in nanosc
Externí odkaz:
http://arxiv.org/abs/2210.04945
Surface strain often controls properties of the material including charge transport and chemical reactivity. Localized surface strain is measured with atomic resolution on (111) ceria nanoparticle surfaces using environmental transmission electron mi
Externí odkaz:
http://arxiv.org/abs/2210.01764
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 is in the identification of atomic columns and other features in trans
Externí odkaz:
http://arxiv.org/abs/2209.13584
In this work, we employ first-principles simulations to investigate the spin polarization of CeO$_2$-(111) surface and its impact on interactions between a ceria support and Pt nanoparticles. For the first time, we report that the CeO$_2$-(111) surfa
Externí odkaz:
http://arxiv.org/abs/2110.00710
Autor:
Meyer, Randall J., Bradley, Steven, Canning, Griffin A., Chu, Pamela M., Crozier, Peter A., Kovarik, Libor, Liu, Jingyue, Porter, Stephen, Sharma, Renu, Stach, Eric A.
Publikováno v:
In Journal of Catalysis May 2024 433
Autor:
Mohan, Sreyas, Vincent, Joshua L., Manzorro, Ramon, Crozier, Peter A., Simoncelli, Eero P., Fernandez-Granda, Carlos
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 generalizing when applied to data that deviate from the training distri
Externí odkaz:
http://arxiv.org/abs/2107.12815