Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Catherine Groschner"'
Autor:
Kaidi Zhang, Yun Yu, Stephen Carr, Mohammad Babar, Ziyan Zhu, Bryan Junsuh Kim, Catherine Groschner, Nikta Khaloo, Takashi Taniguchi, Kenji Watanabe, Venkatasubramanian Viswanathan, D. Kwabena Bediako
Publikováno v:
ACS central science, vol 9, iss 6
Interfacial electron-transfer (ET) reactions underpin the interconversion of electrical and chemical energy. It is known that the electronic state of electrodes strongly influences ET rates because of differences in the electronic density of states (
Publikováno v:
Microscopy and Microanalysis. 28:3050-3052
Publikováno v:
Microscopy and Microanalysis. 28:3098-3100
Publikováno v:
Microscopy and Microanalysis. 28:3124-3126
Autor:
Catherine Groschner, Isaac M Craig, Madeline Van Winkle, Colin Ophus, Karen C Bustillo, Jim Ciston, D Kwabena Bediako
Publikováno v:
Microscopy and Microanalysis. 28:1768-1769
Publikováno v:
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol 28, iss 6
Trained neural networks are promising tools to analyze the ever-increasing amount of scientific image data, but it is unclear how to best customize these networks for the unique features in transmission electron micrographs. Here, we systematically e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d36831d0d844f210549201d032658e64
Autor:
Colin Ophus, Catherine Groschner, Mary Scott, Adam Satariano, Alexandra Bruefach, Philipp M Pelz
Publikováno v:
ACS nano. 16(1)
Shape-controlled synthesis of multiply twinned nanostructures is heavily emphasized in nanoscience, in large part due to the desire to control the size, shape, and terminating facets of metal nanoparticles for applications in catalysis. Direct contro
Autor:
Huihuo Zheng, Robert Hovden, Mary Scott, Philipp M Pelz, Catherine Groschner, Jonathan Schwartz, Suk Hyun Sung, Peter Ercius, Colin Ophus, Yi Jiang, Reed Yalisove
Publikováno v:
Microscopy and Microanalysis. 26:1860-1862
In the field of transmission electron microscopy, data interpretation often lags behind acquisition methods, as image processing methods often have to be manually tailored to individual datasets. Machine learning offers a promising approach for fast,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66853dc75af335538a42727cb00e05a2
http://arxiv.org/abs/2001.05022
http://arxiv.org/abs/2001.05022
Autor:
Ali Javey, Joy Cho, Yingbo Zhao, Catherine Groschner, Matin Amani, Daryl C. Chrzan, Der Hsien Lien, James P. Mastandrea, Joel W. Ager, Geun Ho Ahn, Hyungjin Kim, Mary Scott
Publikováno v:
Science Advances
Science advances, vol 5, iss 1
Science advances, vol 5, iss 1
A simple substrate decoupling method with optimized growth conditions enables a high-quality synthetic monolayer semiconductor.
In recent years, there have been tremendous advancements in the growth of monolayer transition metal dichalcogenides
In recent years, there have been tremendous advancements in the growth of monolayer transition metal dichalcogenides