| Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning Y Liu, N Marcella, J Timoshenko, A Halder, B Yang, L Kolipaka, M Pellin, ... The Journal of Chemical Physics 151 (16), 2019 | 73 | 2019 |
| Dilute alloys based on Au, Ag, or Cu for efficient catalysis: from synthesis to active sites JD Lee, JB Miller, AV Shneidman, L Sun, JF Weaver, J Aizenberg, ... Chemical Reviews 122 (9), 8758-8808, 2022 | 64 | 2022 |
| Enhancing catalytic performance of dilute metal alloy nanomaterials M Luneau, E Guan, W Chen, AC Foucher, N Marcella, T Shirman, ... Communications chemistry 3 (1), 46, 2020 | 63 | 2020 |
| Role of Lewis and Brønsted acidity in metal chloride catalysis in organic media: reductive etherification of furanics H Nguyen, N Xiao, S Daniels, N Marcella, J Timoshenko, A Frenkel, ... ACS Catalysis 7 (10), 7363-7370, 2017 | 53 | 2017 |
| Decoding reactive structures in dilute alloy catalysts N Marcella, JS Lim, AM Płonka, G Yan, CJ Owen, JES van der Hoeven, ... Nature communications 13 (1), 832, 2022 | 43 | 2022 |
| Experimental and theoretical structural investigation of AuPt nanoparticles synthesized using a direct electrochemical method AS Lapp, Z Duan, N Marcella, L Luo, A Genc, J Ringnalda, AI Frenkel, ... Journal of the American Chemical Society 140 (20), 6249-6259, 2018 | 41 | 2018 |
| Neural network assisted analysis of bimetallic nanocatalysts using X-ray absorption near edge structure spectroscopy N Marcella, Y Liu, J Timoshenko, E Guan, M Luneau, T Shirman, ... Physical Chemistry Chemical Physics 22 (34), 18902-18910, 2020 | 38 | 2020 |
| Latent representation learning for structural characterization of catalysts PK Routh, Y Liu, N Marcella, B Kozinsky, AI Frenkel The Journal of Physical Chemistry Letters 12 (8), 2086-2094, 2021 | 37 | 2021 |
| Solving the structure of “single-atom” catalysts using machine learning–assisted XANES analysis S Xiang, P Huang, J Li, Y Liu, N Marcella, PK Routh, G Li, AI Frenkel Physical Chemistry Chemical Physics 24 (8), 5116-5124, 2022 | 25 | 2022 |
| Probing Active Sites in CuxPdy Cluster Catalysts by Machine-Learning-Assisted X-ray Absorption Spectroscopy Y Liu, A Halder, S Seifert, N Marcella, S Vajda, AI Frenkel ACS Applied Materials & Interfaces 13 (45), 53363-53374, 2021 | 24 | 2021 |
| Structural and valence state modification of cobalt in CoPt nanocatalysts in redox conditions AC Foucher, N Marcella, JD Lee, DJ Rosen, R Tappero, CB Murray, ... ACS nano 15 (12), 20619-20632, 2021 | 20 | 2021 |
| Dynamical Change of Valence States and Structure in NiCu3 Nanoparticles during Redox Cycling AC Foucher, N Marcella, JD Lee, R Tappero, CB Murray, AI Frenkel, ... The Journal of Physical Chemistry C 126 (4), 1991-2002, 2022 | 14 | 2022 |
| New role of Pd hydride as a sensor of surface Pd distributions in Pd− Au catalysts E Guan, AC Foucher, N Marcella, T Shirman, M Luneau, AR Head, ... ChemCatChem 12 (3), 717-721, 2020 | 14 | 2020 |
| Speciation of Nanocatalysts Using X-ray Absorption Spectroscopy Assisted by Machine Learning PK Routh, N Marcella, AI Frenkel The Journal of Physical Chemistry C 127 (12), 5653-5662, 2023 | 9 | 2023 |
| Z-Contrast Enhancement in Au–Pt Nanocatalysts by Correlative X-ray Absorption Spectroscopy and Electron Microscopy: Implications for Composition Determination Y Liu, M Xie, N Marcella, AC Foucher, EA Stach, MR Knecht, AI Frenkel ACS Applied Nano Materials 5 (7), 8775-8782, 2022 | 3 | 2022 |
| Unraveling the Catalytic Effect of Hydrogen Adsorption on Pt Nanoparticle Shape-Change CJ Owen, N Marcella, Y Xie, J Vandermause, AI Frenkel, RG Nuzzo, ... arXiv preprint arXiv:2306.00901, 2023 | 2 | 2023 |
| Neural network based analysis of multimodal bond distributions using extended x-ray absorption fine structure spectra N Marcella, S Lam, VS Bryantsev, S Roy, AI Frenkel Physical Review B 109 (10), 104201, 2024 | 1 | 2024 |
| Decoding Reactive Structures in Bimetallic Catalysts NJ Marcella State University of New York at Stony Brook, 2021 | 1 | 2021 |
| Iterative Bragg peak removal on X-ray absorption spectra with automatic intensity correction R Shimogawa, N Marcella, CR O'Connor, TS Kim, C Reece, I Lubomirsky, ... Journal of Synchrotron Radiation 31 (3), 2024 | | 2024 |
| Decoding the Pair Distribution Function of Uranium in Molten Fluoride Salts from X-Ray Absorption Spectroscopy Data by Machine Learning K Zheng, N Marcella, AL Smith, AI Frenkel The Journal of Physical Chemistry C 128 (18), 7635-7642, 2024 | | 2024 |
Anatoly I. FrenkelStony Brook University在 stonybrook.edu 的电子邮件经过验证
