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Daniil Boiko
Daniil Boiko
在 cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
352022
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
302020
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
272023
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
252022
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
242021
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
192021
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
142020
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
122021
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
112022
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
112018
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
32020
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
22023
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
22023
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
22023
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
22022
Stereoelectronics-Aware Molecular Representation Learning
D Boiko, T Reschützegger, B Sanchez-Lengeling, S Blau, G Gomes
12022
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
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