News
Artificial Intelligence and Big Data in Chemistry: From Molecular Data to Autonomous Discovery
The article «Artificial Intelligence and Big Data in Chemistry: From Molecular Data to Autonomous Discovery» by Ananikov V.P., Li J., Zhu T. was published in Chemistry (MDPI)
Artificial Intelligence in Organic Synthesis
The review «Artificial Intelligence in Organic Synthesis» by Festa A.A., Voskressensky L.G., Shurikov M.K., Postnikov P.S., Ananikov V.P. was published in Chem. Rec. (Wiley)
Automatic recognition of Pd ions in high-resolution mass spectra of multicomponent samples without visible fine isotope structures
The article «Automatic recognition of Pd ions in high-resolution mass spectra of multicomponent samples without visible fine isotope structures» by Gurevich P.E., Kozlov K.S., Silverstov A.S., Nersesyan L.E., Kolomoets N.I., Ilyushenkova V.V., Burykina J.V., Boiko D.A., Vorozhtsov A.P., Ananikov V.P. was published in Nat. Commun. (Springer Nature)
Substituent Effects on the Stability of Pd–NHC Complexes: Switching From Molecular to "Cocktail-Type" Catalysis
The article «Substituent Effects on the Stability of Pd–NHC Complexes: Switching From Molecular to "Cocktail-Type" Catalysis» by Naumovich V.O., Gordeev E.G., Ananikov V.P. was published in J. Comput. Chem. (Wiley)
From Furfural to Reprocessable Thermosets: Diels–Alder Monomers for Dynamic Polyurethane Networks
The review «From Furfural to Reprocessable Thermosets: Diels–Alder Monomers for Dynamic Polyurethane Networks» by Galkin K.I., Ananikov V.P. was published in ChemSusChem (Wiley)
Welcome to Ananikov Lab
Understanding how molecules and catalysts transform
Ananikov Lab studies the life cycle of molecules, catalysts and reactive intermediates under real chemical conditions. Our central research theme – Molecular Complexity and Transformations – connects organic synthesis, catalysis, nanoscale chemistry, photochemistry, molecular modeling and machine learning into a unified approach to modern reaction science.
Led by Prof. Valentine P. Ananikov at the Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, the laboratory develops experimental, theoretical and data-driven methods to understand how chemical systems form, operate, adapt and degrade. We investigate catalytic transformations across multiple scales — from molecular complexes and reactive intermediates to clusters, nanoparticles, carbon materials and single-atom catalytic centers.
Our goal is to reveal the mechanisms of chemical transformations and use this knowledge to design more selective, efficient and sustainable transformations for organic synthesis, materials chemistry and chemical technologies. The laboratory combines advanced spectroscopy, microscopy, computational chemistry, molecular modeling and artificial intelligence to build a predictive picture of catalytic and molecular behavior.
Building on the strong tradition of Russian organic chemistry and working within the international research landscape, Ananikov Lab aims to create chemistry that is mechanistically understandable, reproducible, data-rich and useful for solving contemporary scientific and technological challenges.
