Janis Timoshenko
Janis Timoshenko
Fritz-Haber Institute
Email confirmado em fhi-berlin.mpg.de - Página inicial
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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
3352018
Identification of carbon-encapsulated iron nanoparticles as active species in non-precious metal oxygen reduction catalysts
JA Varnell, CM Edmund, CE Schulz, TT Fister, RT Haasch, J Timoshenko, ...
Nature communications 7 (1), 1-9, 2016
2152016
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
1342017
Wavelet data analysis of EXAFS spectra
J Timoshenko, A Kuzmin
Computer Physics Communications 180 (6), 920-925, 2009
952009
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
852014
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
842013
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
782020
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
662019
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
612018
Reverse Monte Carlo modeling of thermal disorder in crystalline materials from EXAFS spectra
J Timoshenko, A Kuzmin, J Purans
Computer Physics Communications 183 (6), 1237-1245, 2012
562012
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
512019
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
502018
Subnanometer substructures in nanoassemblies formed from clusters under a reactive atmosphere revealed using machine learning
J Timoshenko, A Halder, B Yang, S Seifert, MJ Pellin, S Vajda, AI Frenkel
The Journal of Physical Chemistry C 122 (37), 21686-21693, 2018
432018
In Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy
J Timoshenko, B Roldan Cuenya
Chemical reviews 121 (2), 882-961, 2020
412020
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
402020
Quantum fluctuations and coherence in high-precision single-electron capture
V Kashcheyevs, J Timoshenko
Physical review letters 109 (21), 216801, 2012
402012
Size dependent behavior of Fe 3 O 4 crystals during electrochemical (de) lithiation: an in situ X-ray diffraction, ex situ X-ray absorption spectroscopy, transmission electron …
DC Bock, CJ Pelliccione, W Zhang, J Timoshenko, KW Knehr, AC West, ...
Physical Chemistry Chemical Physics 19 (31), 20867-20880, 2017
392017
“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
362019
Role of lewis and brønsted acidity in metal chloride catalysis in organic media: Reductive etherification of furanics
H Nguyen, N Xiao, S Daniels, N Marcella, J Timoshenko, A Frenkel, ...
ACS Catalysis 7 (10), 7363-7370, 2017
352017
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
332018
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