| 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 | 72 | 2019 |
| Formation of three-dimensional bicontinuous structures via molten salt dealloying studied in real-time by in situ synchrotron X-ray nano-tomography X Liu, A Ronne, L Yu, Y Liu, M Ge, C Lin, B Layne, P Halstenberg, ... Nature Communications volume 12, 3441, 2021 | 63 | 2021 |
| 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 | 37 | 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 | 36 | 2021 |
| A squaraine-based colorimetric and F− dependent chemosensor for recyclable CO 2 gas detection: highly sensitive off–on–off response G Xia, Y Liu, B Ye, J Sun, H Wang Chemical communications 51 (72), 13802-13805, 2015 | 36 | 2015 |
| A holistic approach for elucidating local structure, dynamics, and speciation in molten salts with high structural disorder S Roy, Y Liu, M Topsakal, E Dias, R Gakhar, WC Phillips, JF Wishart, ... Journal of the American Chemical Society 143 (37), 15298-15308, 2021 | 28 | 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 | 23 | 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 | 23 | 2021 |
| Nucleation and initial stages of growth during the atomic layer deposition of titanium oxide on mesoporous Silica W Ke, Y Liu, X Wang, X Qin, L Chen, RM Palomino, JP Simonovis, I Lee, ... Nano Letters 20 (9), 6884-6890, 2020 | 22 | 2020 |
| Radiation-assisted formation of metal nanoparticles in molten salts ET Dias, SK Gill, Y Liu, P Halstenberg, S Dai, J Huang, J Mausz, ... The Journal of Physical Chemistry Letters 12 (1), 157-164, 2020 | 20 | 2020 |
| One-step facile synthesis of high-activity nitrogen-doped PtNiN oxygen reduction catalyst L Song, Y Cai, Y Liu, X Zhao, KA Kuttiyiel, N Marinkovic, AI Frenkel, ... ACS Applied Energy Materials 5 (4), 5245-5255, 2022 | 12 | 2022 |
| Remote controlled optical manipulation of bimetallic nanoparticle catalysts using peptides RL Lawrence, MO Olagunju, Y Liu, K Mahalingam, JM Slocik, RR Naik, ... Catalysis Science & Technology 11 (7), 2386-2395, 2021 | 11 | 2021 |
| Differentiating supported platinum single atoms, clusters and nanoparticles by styrene hydrogenation Y Zhang, DT Tran, D Baker, S Zhang, T Wang, S Hwang, E Schulman, ... Molecular Catalysis 531, 112709, 2022 | 9 | 2022 |
| One-step synthesis of alkyl 2-chloropyrimido [1, 2-a] benzimidazole-3-carboxylates under catalyst-free: combined experimental and computational studies Y Liu, G Xia, C Luo, J Sun, B Ye, Y Yuan, H Wang Tetrahedron letters 56 (36), 5071-5075, 2015 | 8 | 2015 |
| Atomically Resolved Characterization of Optically Driven Ligand Reconfiguration on Nanoparticle Catalyst Surfaces MO Olagunju, Y Liu, AI Frenkel, MR Knecht ACS applied materials & interfaces 13 (37), 44302-44311, 2021 | 4 | 2021 |
| 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 |
| Latent space interpretation of X-ray absorption fine structure spectra by an autoencoder approach Y Liu, P Routh, N Marcella, A Frenkel APS March Meeting Abstracts 2021, Y61. 002, 2021 | | 2021 |
| Probabilistic generative models for latent representation learning of X-ray absorption fine structure (XAFS) spectra PK Routh, Y Liu, N Marcella, A Frenkel APS March Meeting Abstracts 2021, Y61. 003, 2021 | | 2021 |
| Neural network-assisted analysis of X-ray absorption spectra of metal oxide clusters Y Liu, N Marcella, A Frenkel Bulletin of the American Physical Society 65, 2020 | | 2020 |
Anatoly I. FrenkelStony Brook UniversityVerified email at stonybrook.edu
