Autonomous chemical research with large language models DA Boiko, R MacKnight, B Kline, G Gomes Nature 624 (7992), 570-578, 2023 | 282* | 2023 |
Fully automated unconstrained analysis of high-resolution mass spectrometry data with machine learning DA Boiko, KS Kozlov, JV Burykina, VV Ilyushenkova, VP Ananikov Journal of the American Chemical Society 144 (32), 14590-14606, 2022 | 35 | 2022 |
Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles DA Boiko, EO Pentsak, VA Cherepanova, VP Ananikov Scientific data 7 (1), 101, 2020 | 30 | 2020 |
Time-resolved formation and operation maps of pd catalysts suggest a key role of single atom centers in cross-coupling AS Galushko, DA Boiko, EO Pentsak, DB Eremin, VP Ananikov Journal of the American Chemical Society 145 (16), 9092-9103, 2023 | 27 | 2023 |
Toward totally defined nanocatalysis: deep learning reveals the extraordinary activity of single Pd/C particles DB Eremin, AS Galushko, DA Boiko, EO Pentsak, IV Chistyakov, ... Journal of the American Chemical Society 144 (13), 6071-6079, 2022 | 25 | 2022 |
Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials DA Boiko, EO Pentsak, VA Cherepanova, EG Gordeev, VP Ananikov Chemical Science 12 (21), 7428-7441, 2021 | 24 | 2021 |
Evidence for “cocktail”-type catalysis in Buchwald–Hartwig reaction. A mechanistic study DO Prima, M Madiyeva, JV Burykina, ME Minyaev, DA Boiko, ... Catalysis Science & Technology 11 (21), 7171-7188, 2021 | 19 | 2021 |
Mechanistic Study of Pd/NHC‐Catalyzed Sonogashira Reaction: Discovery of NHC‐Ethynyl Coupling Process DB Eremin, DA Boiko, AY Kostyukovich, JV Burykina, EA Denisova, ... Chemistry–A European Journal 26 (67), 15672-15681, 2020 | 14 | 2020 |
Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System AS Kashin, DA Boiko, VP Ananikov Small 17 (24), 2007726, 2021 | 12 | 2021 |
Integration of thermal imaging and neural networks for mechanical strength analysis and fracture prediction in 3D-printed plastic parts DA Boiko, VA Korabelnikova, EG Gordeev, VP Ananikov Scientific Reports 12 (1), 8944, 2022 | 11 | 2022 |
Ten-fold boost of catalytic performance in thiol–yne click reaction enabled by a palladium diketonate complex with a hexafluoroacetylacetonate ligand DB Eremin, DA Boiko, EV Borkovskaya, VN Khrustalev, VM Chernyshev, ... Catalysis Science & Technology 8 (12), 3073-3080, 2018 | 11 | 2018 |
Comprehensive mass spectrometric mapping of chemical compounds for the development of algorithms for machine learning and artificial intelligence JV Burykina, DA Boiko, VV Ilyushenkova, DB Eremin, VP Ananikov Doklady Physical Chemistry 492, 51-56, 2020 | 3 | 2020 |
Analyzing ionic liquid systems using real-time electron microscopy and a computational framework combining deep learning and classic computer vision techniques DA Boiko, AS Kashin, VR Sorokin, YV Agaev, RG Zaytsev, VP Ananikov Journal of Molecular Liquids 376, 121407, 2023 | 2 | 2023 |
Expanding the Role of Dimeric Species: On-Cycle Involvement, Improved Stability, and Control of Stereo-Specificity. A Case Study of Atom-Economic Catalytic Hydrothiolation LT Sahharova, JV Burykina, AY Kostyukovich, DB Eremin, DA Boiko, ... ACS Catalysis 13 (6), 3591-3604, 2023 | 2 | 2023 |
Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy KS Kozlov, DA Boiko, EV Detusheva, KV Detushev, EO Pentsak, ... Digital Discovery 2 (5), 1522-1539, 2023 | 2 | 2023 |
Automated recognition of nanoparticles in electron microscopy images of nanoscale palladium catalysts DA Boiko, VV Sulimova, MY Kurbakov, AV Kopylov, OS Seredin, ... Nanomaterials 12 (21), 3914, 2022 | 2 | 2022 |
Stereoelectronics-Aware Molecular Representation Learning D Boiko, T Reschützegger, B Sanchez-Lengeling, S Blau, G Gomes | 1 | 2022 |
Machine learning meets mass spectrometry: a focused perspective DA Boiko, VP Ananikov arXiv preprint arXiv:2407.00117, 2024 | | 2024 |
Quantitative Determination of Active Species Transforming the R-NHC Coupling Process under Catalytic Conditions ED Patil, JV Burykina, DB Eremin, DA Boiko, KE Shepelenko, ... Inorganic Chemistry 63 (6), 2967-2976, 2024 | | 2024 |
Determining the orderliness of carbon materials with nanoparticle imaging and explainable machine learning MY Kurbakov, VV Sulimova, AV Kopylov, OS Seredin, DA Boiko, ... Nanoscale, 2024 | | 2024 |