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Janis Timoshenko
Janis Timoshenko
Fritz-Haber Institute
在 fhi-berlin.mpg.de 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Nanoporous Copper–Silver Alloys by Additive-Controlled Electrodeposition for the Selective Electroreduction of CO2 to Ethylene and Ethanol
TTH Hoang, S Verma, S Ma, TT Fister, J Timoshenko, AI Frenkel, ...
Journal of the American Chemical Society 140 (17), 5791-5797, 2018
6622018
Key role of chemistry versus bias in electrocatalytic oxygen evolution
HN Nong, LJ Falling, A Bergmann, M Klingenhof, HP Tran, C Spöri, ...
Nature 587 (7834), 408-413, 2020
4492020
In Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy
J Timoshenko, B Roldan Cuenya
Chemical reviews 121 (2), 882-961, 2020
4092020
Identification of carbon-encapsulated iron nanoparticles as active species in non-precious metal oxygen reduction catalysts
JA Varnell, ECM Tse, CE Schulz, TT Fister, RT Haasch, J Timoshenko, ...
Nature communications 7 (1), 12582, 2016
2972016
Supervised machine-learning-based determination of three-dimensional structure of metallic nanoparticles
J Timoshenko, D Lu, Y Lin, AI Frenkel
The journal of physical chemistry letters 8 (20), 5091-5098, 2017
2612017
Efficient electrochemical nitrate reduction to ammonia with coppersupported rhodium cluster and singleatom catalysts
H Liu, X Lang, C Zhu, J Timoshenko, M Rüscher, L Bai, N Guijarro, H Yin, ...
Angewandte Chemie International Edition 61 (23), e202202556, 2022
2312022
Selective CO2 Electroreduction to Ethylene and Multicarbon Alcohols via ElectrolyteDriven Nanostructuring
D Gao, I Sinev, F Scholten, RM AránAis, NJ Divins, K Kvashnina, ...
Angewandte Chemie 131 (47), 17203-17209, 2019
1852019
Electrocatalytic CO2 Reduction on CuOx Nanocubes: Tracking the Evolution of Chemical State, Geometric Structure, and Catalytic Selectivity using Operando …
T Möller, F Scholten, TN Thanh, I Sinev, J Timoshenko, X Wang, ...
Angewandte Chemie 132 (41), 18130-18139, 2020
1792020
Operando Investigation of AgDecorated Cu2O Nanocube Catalysts with Enhanced CO2 Electroreduction toward Liquid Products
A Herzog, A Bergmann, HS Jeon, J Timoshenko, S Kühl, C Rettenmaier, ...
Angewandte Chemie International Edition 60 (13), 7426-7435, 2021
1712021
Steering the structure and selectivity of CO2 electroreduction catalysts by potential pulses
J Timoshenko, A Bergmann, C Rettenmaier, A Herzog, RM Arán-Ais, ...
Nature Catalysis 5 (4), 259-267, 2022
1612022
Operando Insight into the Correlation between the Structure and Composition of CuZn Nanoparticles and Their Selectivity for the Electrochemical CO2 Reduction
HS Jeon, J Timoshenko, F Scholten, I Sinev, A Herzog, FT Haase, ...
Journal of the American Chemical Society 141 (50), 19879-19887, 2019
1552019
Wavelet data analysis of EXAFS spectra
J Timoshenko, A Kuzmin
Computer Physics Communications 180 (6), 920-925, 2009
1552009
Size effects and active state formation of cobalt oxide nanoparticles during the oxygen evolution reaction
FT Haase, A Bergmann, TE Jones, J Timoshenko, A Herzog, HS Jeon, ...
Nature Energy 7 (8), 765-773, 2022
1482022
Selectivity Control of Cu Nanocrystals in a Gas-Fed Flow Cell through CO2 Pulsed Electroreduction
HS Jeon, J Timoshenko, C Rettenmaier, A Herzog, A Yoon, SW Chee, ...
Journal of the American Chemical Society 143 (19), 7578-7587, 2021
1362021
EXAFS study of hydrogen intercalation into ReO 3 using the evolutionary algorithm
J Timoshenko, A Kuzmin, J Purans
Journal of Physics: Condensed Matter 26 (5), 055401, 2014
1332014
Neural network approach for characterizing structural transformations by X-ray absorption fine structure spectroscopy
J Timoshenko, A Anspoks, A Cintins, A Kuzmin, J Purans, AI Frenkel
Physical review letters 120 (22), 225502, 2018
1132018
Probing atomic distributions in mono-and bimetallic nanoparticles by supervised machine learning
J Timoshenko, CJ Wrasman, M Luneau, T Shirman, M Cargnello, SR Bare, ...
Nano letters 19 (1), 520-529, 2018
962018
Counting statistics for electron capture in a dynamic quantum dot
L Fricke, M Wulf, B Kaestner, V Kashcheyevs, J Timoshenko, P Nazarov, ...
Physical Review Letters 110 (12), 126803, 2013
932013
“Inverting” X-ray absorption spectra of catalysts by machine learning in search for activity descriptors
J Timoshenko, AI Frenkel
Acs Catalysis 9 (11), 10192-10211, 2019
872019
Highly active subnanometer Rh clusters derived from Rh-doped SrTiO3 for CO2 reduction
B Yan, Q Wu, J Cen, J Timoshenko, AI Frenkel, D Su, X Chen, JB Parise, ...
Applied Catalysis B: Environmental 237, 1003-1011, 2018
822018
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