| Cellulose based nanocomposite hydrogel films consisting of sodium carboxymethylcellulose–grapefruit seed extract nanoparticles for potential wound healing applications A Koneru, K Dharmalingam, R Anandalakshmi International Journal of Biological Macromolecules 148, 833-842, 2020 | 83 | 2020 |
| Effect of graphene oxide (GO) nanosheet sizes, pinhole defects and non-ideal lamellar stacking on the performance of layered GO membranes: an atomistic investigation A Gogoi, A Koneru, KA Reddy Nanoscale Advances 1 (8), 3023-3035, 2019 | 26 | 2019 |
| Nanoporous dielectric resistive memories using sequential infiltration synthesis B Chakrabarti, H Chan, K Alam, A Koneru, TE Gage, LE Ocola, R Divan, ... ACS nano 15 (3), 4155-4164, 2021 | 20 | 2021 |
| Multi-reward reinforcement learning based bond-order potential to study strain-assisted phase transitions in phosphorene A Koneru, R Batra, S Manna, TD Loeffler, H Chan, M Sternberg, A Avarca, ... The Journal of Physical Chemistry Letters 13 (7), 1886-1893, 2022 | 19 | 2022 |
| Graph neural network guided evolutionary search of grain boundaries in 2D materials J Zhang, A Koneru, SKRS Sankaranarayanan, CM Lilley ACS Applied Materials & Interfaces 15 (16), 20520-20530, 2023 | 11 | 2023 |
| Multi-reward reinforcement learning based development of inter-atomic potential models for silica A Koneru, H Chan, S Manna, TD Loeffler, D Dhabal, AA Bertolazzo, ... npj Computational Materials 9 (1), 125, 2023 | 3 | 2023 |
| Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning A Koneru, A Muhammed, K Balasubramanian, K Sasikumar, S Manna, ... The Journal of Physical Chemistry A 128 (28), 5752-5761, 2024 | 1 | 2024 |
| Evolutionary Search and Theoretical Study of Silicene Grain Boundaries’ Mechanical Properties J Zhang, A Koneru, SKRS Sankaranarayanan, CM Lilley The Journal of Physical Chemistry C 128 (14), 6019-6030, 2024 | 1 | 2024 |
| From Non-Classical to Classical: Crystallization Seeds Reshape Nucleation Mechanisms C Chu-Jon, E Martinez, A Bertolazzo, A Koneru, S Sankaranarayanan, ... | | 2025 |
| Machine Learning a Simple Interpretable Short-Range Potential for Silica A Koneru, H Chan, S Manna, S Banik, V Molinero, ... Journal of Chemical Theory and Computation 20 (19), 8665-8674, 2024 | | 2024 |
| Elucidating the mechanisms of synthesis of zeolites using data science and molecular simulation V Molinero, S Sankaranarayanan, D Dhabal, A Bertolazzo, S Banik, ... APS March Meeting Abstracts 2023, N04. 001, 2023 | | 2023 |
| Machine learning for exploration of defects in 2D grain boundaries J Zhang, A Koneru, S Srinivasan, S Sankaranarayanan, C Lilley APS March Meeting Abstracts 2022, S71. 007, 2022 | | 2022 |
| Multi-Reward Reinforcement Learning Based Inter-atomic Potential Models for Silica A Koneru MRS Spring Meeting, Hawaii, 2022 | | 2022 |
| Multi Reward Reinforcement Learning Based Bond Order Potential to Study Strain Assisted Phase Transitions in Phosphorene A Koneru MRS Fall Meeting, Boston, 2021 | | 2021 |
| Graph Neural Network Guided Evolutionary Search of Grain Boundaries in J Zhang, A Koneru, SKRS Sankaranarayanan, CM Lilley | | |
Subramanian KRS SankaranarayananUniversity of Illinois at Chicago, Argonne National Laboratoryยืนยันอีเมลแล้วที่ uic.edu
