Journal of the American Chemical Society, volume 144, issue 13, pages 6071-6079
Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles.
Publication type: Journal Article
Publication date: 2022-03-23
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 15
ISSN: 00027863, 15205126
General Chemistry
Catalysis
Biochemistry
Colloid and Surface Chemistry
Abstract
Homogeneous catalysis is typically considered "well-defined" from the standpoint of catalyst structure unambiguity. In contrast, heterogeneous nanocatalysis often falls into the realm of "poorly defined" systems. Supported catalysts are difficult to characterize due to their heterogeneity, variety of morphologies, and large size at the nanoscale. Furthermore, an assortment of active metal nanoparticles examined on the support are negligible compared to those in the bulk catalyst used. To solve these challenges, we studied individual particles of the supported catalyst. We made a significant step forward to fully characterize individual catalyst particles. Combining a nanomanipulation technique inside a field-emission scanning electron microscope with neural network analysis of selected individual particles unexpectedly revealed important aspects of activity for widespread and commercially important Pd/C catalysts. The proposed approach unleashed an unprecedented turnover number of 109 attributed to individual palladium on a nanoglobular carbon particle. Offered in the present study is the Totally Defined Catalysis concept that has tremendous potential for the mechanistic research and development of high-performance catalysts.
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3 publications, 23.08%
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1
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Eremin D. B. et al. Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles. // Journal of the American Chemical Society. 2022. Vol. 144. No. 13. pp. 6071-6079.
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Eremin D. B., Galushko A. S., Boiko D. A., Pentsak E. O., Chistyakov I. V., Ananikov V. P. Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles. // Journal of the American Chemical Society. 2022. Vol. 144. No. 13. pp. 6071-6079.
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TY - JOUR
DO - 10.1021/jacs.2c01283
UR - https://doi.org/10.1021%2Fjacs.2c01283
TI - Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles.
T2 - Journal of the American Chemical Society
AU - Galushko, Alexey S
AU - Boiko, Daniil A.
AU - Pentsak, Evgeniy O
AU - Chistyakov, Igor V
AU - Eremin, Dmitry B.
AU - Ananikov, Valentine P.
PY - 2022
DA - 2022/03/23 00:00:00
PB - American Chemical Society (ACS)
SP - 6071-6079
IS - 13
VL - 144
SN - 0002-7863
SN - 1520-5126
ER -
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@article{2022_Eremin,
author = {Alexey S Galushko and Daniil A. Boiko and Evgeniy O Pentsak and Igor V Chistyakov and Dmitry B. Eremin and Valentine P. Ananikov},
title = {Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles.},
journal = {Journal of the American Chemical Society},
year = {2022},
volume = {144},
publisher = {American Chemical Society (ACS)},
month = {mar},
url = {https://doi.org/10.1021%2Fjacs.2c01283},
number = {13},
pages = {6071--6079},
doi = {10.1021/jacs.2c01283}
}
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Eremin, Dmitry B., et al. “Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles..” Journal of the American Chemical Society, vol. 144, no. 13, Mar. 2022, pp. 6071-6079. https://doi.org/10.1021%2Fjacs.2c01283.