Publications of Janis Timoshenko

Timoshenko, J.: Improving the Interpretation of XAS Data Using Artificial Neural Networks. International Workshop on Improving Data Quality and Quantity in XAFS Spectroscopy, Q2XAFS 2023, Melbourne, Australia (2023)

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

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

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

Timoshenko, J.: In-Situ/Operando X-ray Absorption Spectroscopy. HZB Photon School 2022, Berlin, Germany (2022)

Timoshenko, J.: Basic and Advanced Analysis of Extended X-ray Absorption Fine Structure. HZB Photon School 2022, Berlin, Germany (2022)

Timoshenko, J.: Tracking Dynamics and Heterogeneity in Working Nanocatalysts Using Time Resolved Synchrotron Studies and Machine Learning. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (2022)

Timoshenko, J.: Multiple Scattering EXAFS Analysis and Measuring Bond Length Disorder by EXAFS. XAFS Short Course 2022, Online Event (2022)

Timoshenko, J.: Tracking the Structure and Composition of Copper-Based Catalysts for CO₂ Electroreduction Using Operando XAS. ACS Spring Meeting 2021, Online Event (2021)

Timoshenko, J.: In Situ/Operando Electrocatalyst Characterization by X-Ray Absorption Spectroscopy. Chemical Reviews Virtual Lecture Series, Online Event (2021)

Timoshenko, J.: In Situ/Operando X-Ray Absorption Spectroscopy. HZB Photon School 2021, Online Event (2021)

Timoshenko, J.: Basic and Advanced Analysis of Extended X-Ray Absorption Fine Structure. HZB Photon School 2021, Online Event (2021)

Timoshenko, J.: Machine Learning Algorithms for the Analysis of Spectroscopy Data. DGM Training Course, Correlative Materials Characterization, Online Event (2021)

Timoshenko, J.: Probing Kinetics of Catalyst Transformations Using Synchrotron-Based Operando Techniques and Machine Learning. 6th International School-Conference on Catalysis for Young Scientists, Catalyst Design: From Molecular to Industrial Level, Online Event (2021)

Timoshenko, J.: Probing Disorder in Nanoparticles Using In-Situ X-ray Absorption Spectroscopy and Machine Learning. E-MRS Spring Meeting 2021, Online Event (2021)

Timoshenko, J.: In-Situ/Operando X-ray Absorption Spectroscopy. HZB Photon School 2020, Berlin, Germany (2020)

Timoshenko, J.: Reverse Monte Carlo Modelling and Neural Networks in EXAFS Analysis. Advanced XAS Data Analysis and Modeling Virtual Workshop 2020, Online Event (2020)

Timoshenko, J.: Advanced Studies of Structure, Composition and Dynamics of Model Catalysts Under Working Conditions. 20th Meeting of the Fachbeirat of the Fritz-Haber-Institut, Berlin, Germany (2019)