Publications of Janis Timoshenko

Rettenmaier, C.; Aran Ais, R.; Timoshenko, J.; Rizo, R.; Jeon, H.; Kühl, S.; Chee, S. W.; Bergmann, A.; Roldan Cuenya, B.: Enhanced Formic Acid Oxidation over SnO₂-decorated Pd Nanocubes. ACS Catalysis 10 (24), pp. 14540 - 14551 (2020)

Kunze, S.; Grosse, P.; Lopez, M. B.; Sinev, I.; Zegkinoglou, I.; Mistry, H.; Timoshenko, J.; Hu, M. Y.; Zhao, J.; Alp, E. E. et al.; Chee, S. W.; Roldan Cuenya, B.: Operando NRIXS and XAFS Investigation of Segregation Phenomena in Fe‐Cu and Fe‐Ag Nanoparticle Catalysts during CO₂ Electroreduction. Angewandte Chemie International Edition 59 (50), pp. 22667 - 22674 (2020)

Nong, H. N.; Falling, L.; Bergmann, A.; Klingenhof, M.; Tran, H. P.; Spöri, C.; Mom, R.; Timoshenko, J.; Zichittella, G.; Knop-Gericke, A. et al.; Piccinin, S.; Pérez-Ramírez, J.; Roldan Cuenya, B.; Schlögl, R.; Strasser, P.; Teschner, D.; Jones, T.: Key role of chemistry versus bias in electrocatalytic oxygen evolution. Nature 587 (7834), pp. 408 - 413 (2020)

Möller, T.; Scholten, F.; Thanh, T. N.; Sinev, I.; Timoshenko, J.; Wang, X.; Jovanov, Z.; Gliech, M.; Roldan Cuenya, B.; Varela, A. S. et al.; Strasser, P.: Electrocatalytic CO₂ Reduction on CuO_x Nanocubes: Tracking the Evolution of Chemical State, Geometric Structure, and Catalytic Selectivity using Operando Spectroscopy. Angewandte Chemie International Edition 59 (41), pp. 17974 - 17983 (2020)

Timoshenko, J.; Jeon, H.; Sinev, I.; Haase, F.; Herzog, A.; Roldan Cuenya, B.: Linking the evolution of catalytic properties and structural changes in copper-zinc nanocatalysts using operando EXAFS and neural-networks. Chemical Science 11 (14), pp. 3727 - 3736 (2020)

Jeon, H.; Timoshenko, J.; Scholten, F.; Sinev, I.; Herzog, A.; Haase, F.; Roldan Cuenya, B.: Operando Insight into the Correlation between the Structure and Composition of CuZn Nanoparticles and their Selectivity for the Electrochemical CO₂ Reduction. Journal of the American Chemical Society 141 (50), pp. 19879 - 19887 (2019)

Gao, D.; Sinev, I.; Scholten, F.; Aran Ais, R.; Divins, N. J.; Kvashnina, K.; Timoshenko, J.; Roldan Cuenya, B.: Selective CO₂ Electroreduction to Ethylene and Multicarbon Alcohols via Electrolyte-Driven Nanostructuring. Angewandte Chemie International Edition 58 (47), pp. 17047 - 17053 (2019)

Timoshenko, J.; Frenkel, A. I.: “Inverting” X-ray Absorption Spectra of Catalysts by Machine Learning in Search for Activity Descriptors. ACS Catalysis 9 (11), pp. 10192 - 10211 (2019)

Ahmadi, M.; Timoshenko, J.; Behafarid, F.; Roldan Cuenya, B.: Tuning the Structure of Pt Nanoparticles through Support Interactions: An In Situ Polarized X-ray Absorption Study Coupled with Atomistic Simulations. The Journal of Physical Chemistry C 123 (16), pp. 10666 - 10676 (2019)

Poon, J.; Chee, S. W.; Timoshenko, J.; Roldan Cuenya, B.: Operando Studies of Electrocatalysts for Energy Technology Reactions. In: Operando Methods in Catalysis and Materials Science, pp. 11 - 111 (Eds. Weckhuysen , B. M.; Nieuwelink, A.-E.). Willey-VCH (2026)

Timoshenko, J.: In Situ/Operando X-Ray Absorption Spectroscopy. HZB Photon School 2025, Online Event (2025)

Timoshenko, J.: Advanced XAS Data Analysis Approaches for Tracking Transformations of Working Electrocatalysts. SILS Conference 2024, Rende, Italy (2024)

Timoshenko, J.: In-Situ and Operando Characterization of Catalysts by XAS. NanoCAT Summer School: Scientific Excellence in Nano-Catalysis, Prague, Czech Republic (2024)

Timoshenko, J.: Machine Learning for the Interpretation of XAS Data in Heterogeneous Materials. International Workshop on Recent Advances and Future Trends in EXAFS Spectroscopy, Riga, Latvia (2024)

Timoshenko, J.: In Situ/Operando X-Ray Absorption Spectroscopy. HZB Photon School 2024, Online Event (2024)

Timoshenko, J.: Challenges and Opportunities for Machine Learning in XAS Data Interpretation. ALBA II Symposium, Madrid, Spain (2024)

Timoshenko, J.: Tracking and Steering the Dynamic Structures of Single Atom Catalysts for Electrocatalytic CO₂ Reduction Reaction Using Operando XAS. DESY User meeting, Hamburg, Germany (2024)

Timoshenko, J.: Obtaining 3D Structure From EXAFS Spectra. XAFS Short Course 2023, Upton, NY, USA (2023)

Timoshenko, J.: Machine Learning Methods. EXAFS 50 Symposium, Upton, NY, USA (2023)

Timoshenko, J.: Understanding the Dynamic Structure of Working Electrocatalysts Using Operando QXAFS. E-MRS Fall Meeting 2023, Warsaw, Poland (2023)