| Molecular modeling and simulation of polymer nanocomposites with nanorod fillers S Lu, Z Wu, A Jayaraman The Journal of Physical Chemistry B 125 (9), 2435-2449, 2021 | 29 | 2021 |
| Semi-supervised machine learning workflow for analysis of nanowire morphologies from transmission electron microscopy images S Lu, B Montz, T Emrick, A Jayaraman Digital Discovery 1 (6), 816-833, 2022 | 21 | 2022 |
| Adsorption of cefocelis hydrochloride on macroporous resin: kinetics, equilibrium, and thermodynamic studies F Xue, Y Xu, S Lu, S Ju, W Xing Journal of Chemical & Engineering Data 61 (6), 2179-2185, 2016 | 16 | 2016 |
| Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques S Lu, A Jayaraman JACS Au 3 (9), 2510-2521, 2023 | 14 | 2023 |
| Effect of nanorod physical roughness on the aggregation and percolation of nanorods in polymer nanocomposites S Lu, A Jayaraman ACS Macro Letters 10 (11), 1416-1422, 2021 | 13 | 2021 |
| Machine Learning for Analyses and Automation of Structural Characterization of Polymer Materials S Lu, A Jayaraman Progress in Polymer Science, 101828, 2024 | 6 | 2024 |
| Machine Learning for Analysis of Structural Characterization A Jayaraman, S Lu The Digital Transformation of Product Formulation, 106-136, 2024 | | 2024 |
| Challenges and Barriers to Data-Driven Formulation Design and Characterization A Jayaraman, S Lu, A Schmidt The Digital Transformation of Product Formulation, 333-336, 2024 | | 2024 |
| Linking polysulfamide design to morphology using molecular simulation and machine learning J Shah, A Paruchuri, L Nagidi, S Lu, A Jayaraman Bulletin of the American Physical Society, 2024 | | 2024 |
| Molecular Modeling, Simulation and Machine Learning Studies of Polymer Nanocomposite Structures and Morphologies S Lu University of Delaware, 2024 | | 2024 |
| Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques S Lu, A Jayaraman MRS Fall Meeting, 2023 | | 2023 |
| Applications of variational autoencoders for polymer nanocomposite structure generation S Lu, A Jayaraman APS March Meeting Abstracts 2023, B60. 012, 2023 | | 2023 |
| Molecular modeling, simulation, and machine learning of polymer nanocomposites containing nanorod fillers S Lu, A Jayaraman APS March Meeting Abstracts 2023, N00. 003, 2023 | | 2023 |
| Semi-Supervised Machine Learning Workflow for Analysis of Nanostructured Morphologies from Transmission Electron Microscopy Images S Lu, B Montz, T Emrick, A Jayaraman MRS Fall Meeting, 2022 | | 2022 |
| Autofocusing optical microscope using artificial neural network for large-area, high-magnification scanning A Jayaraman, S Chandrasekaran, E MacBride, S Lu | | 2022 |
| Effect of Nanorod Physical Roughness on the Aggregation and Percolation of Nanorods in Polymer Nanocomposites S Lu, A Jayaraman Bulletin of the American Physical Society, 2022 | | 2022 |
| Coarse-grained models for predicting the morphology of polymer nanocomposites containing nanorod fillers S Lu, Z Wu, A Jayaraman Bulletin of the American Physical Society, 2021 | | 2021 |
| Coarse-Grained Models for Predicting the Morphology of Polymer Nanocomposites Containing Nanorod Fillers S Lu, Z Wu, A Jayaraman 2020 virtual AICHE annual meeting, 2020 | | 2020 |
Arthi JayaramanUniversity of DelawareZweryfikowany adres z udel.edu