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The Journal of Physical Chemistry Letters
|
February 23, 2021
Latent Representation Learning for Structural Characterization of Catalysts
Prahlad K Routh, Yang Liu, Nicholas Marcella, et al.
ACS Applied Materials & Interfaces
|
July 13, 2021
Probing Active Sites in Cu<sub></sub>Pd<sub></sub> Cluster Catalysts by Machine-Learning-Assisted X-ray Absorption Spectroscopy
Yang Liu, Avik Halder, Soenke Seifert, et al.
Journal of Synchrotron Radiation
|
April 9, 2024
Iterative Bragg peak removal on X-ray absorption spectra with automatic intensity correction
Ryuichi Shimogawa, Nicholas Marcella, Christopher R O'Connor, et al.
Physical Chemistry Chemical Physics : PCCP
|
February 14, 2022
Solving the structure of "single-atom" catalysts using machine learning - assisted XANES analysis
Shuting Xiang, Peipei Huang, Junying Li, et al.
Journal of the American Chemical Society
|
May 12, 2018
Experimental and Theoretical Structural Investigation of AuPt Nanoparticles Synthesized Using a Direct Electrochemical Method
Aliya S Lapp, Zhiyao Duan, Nicholas Marcella, et al.
ACS Nano
|
November 15, 2021
Structural and Valence State Modification of Cobalt in CoPt Nanocatalysts in Redox Conditions
Alexandre C Foucher, Nicholas Marcella, Jennifer D Lee, et al.
The Journal of Chemical Physics
|
November 3, 2019
Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning
Yang Liu, Nicholas Marcella, Janis Timoshenko, et al.
Physical Chemistry Chemical Physics : PCCP
|
May 13, 2020
Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy
Nicholas Marcella, Yang Liu, Janis Timoshenko, et al.
Communications Chemistry
|
January 27, 2023
Enhancing catalytic performance of dilute metal alloy nanomaterials
Mathilde Luneau, Erjia Guan, Wei Chen, et al.
Nature Communications
|
February 12, 2022
Decoding reactive structures in dilute alloy catalysts
Nicholas Marcella, Jin Soo Lim, Anna M Płonka, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
The Journal of Physical Chemistry Letters
|
February 23, 2021
Latent Representation Learning for Structural Characterization of Catalysts
Prahlad K Routh, Yang Liu, Nicholas Marcella, et al.
ACS Applied Materials & Interfaces
|
July 13, 2021
Probing Active Sites in Cu<sub></sub>Pd<sub></sub> Cluster Catalysts by Machine-Learning-Assisted X-ray Absorption Spectroscopy
Yang Liu, Avik Halder, Soenke Seifert, et al.
Journal of Synchrotron Radiation
|
April 9, 2024
Iterative Bragg peak removal on X-ray absorption spectra with automatic intensity correction
Ryuichi Shimogawa, Nicholas Marcella, Christopher R O'Connor, et al.
Physical Chemistry Chemical Physics : PCCP
|
February 14, 2022
Solving the structure of "single-atom" catalysts using machine learning - assisted XANES analysis
Shuting Xiang, Peipei Huang, Junying Li, et al.
Journal of the American Chemical Society
|
May 12, 2018
Experimental and Theoretical Structural Investigation of AuPt Nanoparticles Synthesized Using a Direct Electrochemical Method
Aliya S Lapp, Zhiyao Duan, Nicholas Marcella, et al.
ACS Nano
|
November 15, 2021
Structural and Valence State Modification of Cobalt in CoPt Nanocatalysts in Redox Conditions
Alexandre C Foucher, Nicholas Marcella, Jennifer D Lee, et al.
The Journal of Chemical Physics
|
November 3, 2019
Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning
Yang Liu, Nicholas Marcella, Janis Timoshenko, et al.
Physical Chemistry Chemical Physics : PCCP
|
May 13, 2020
Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy
Nicholas Marcella, Yang Liu, Janis Timoshenko, et al.
Communications Chemistry
|
January 27, 2023
Enhancing catalytic performance of dilute metal alloy nanomaterials
Mathilde Luneau, Erjia Guan, Wei Chen, et al.
Nature Communications
|
February 12, 2022
Decoding reactive structures in dilute alloy catalysts
Nicholas Marcella, Jin Soo Lim, Anna M Płonka, et al.
Page
of 2